Compare commits

...

21 commits

Author SHA1 Message Date
58a1de92b8
Merge https://github.com/ollama/ollama 2024-08-29 15:59:09 +05:30
Patrick Devine
8e4e509fa4
update the openai docs to explain how to set the context size (#6548) 2024-08-28 17:11:46 -07:00
Michael Yang
47c2b947a9
Merge pull request #6546 from ollama/mxyng/fix-test
fix(test): do not clobber models directory
2024-08-28 15:37:47 -07:00
Michael Yang
5eb77bf976
Merge pull request #6539 from ollama/mxyng/validate-modelpath
fix: validate modelpath
2024-08-28 14:38:27 -07:00
Michael Yang
e4d0a9c325 fix(test): do not clobber models directory 2024-08-28 14:07:48 -07:00
Patrick Devine
7416ced70f
add llama3.1 chat template (#6545) 2024-08-28 14:03:20 -07:00
Michael Yang
9cfd2dd3e3
Merge pull request #6522 from ollama/mxyng/detect-chat
detect chat template from configs that contain lists
2024-08-28 11:04:18 -07:00
Michael Yang
8e6da3cbc5 update deprecated warnings 2024-08-28 09:55:11 -07:00
Michael Yang
d9d50c43cc validate model path 2024-08-28 09:32:57 -07:00
Patrick Devine
6c1c1ad6a9
throw an error when encountering unsupport tensor sizes (#6538) 2024-08-27 17:54:04 -07:00
Daniel Hiltgen
93ea9240ae
Move ollama executable out of bin dir (#6535) 2024-08-27 16:19:00 -07:00
Michael Yang
60e47573a6 more tokenizer tests 2024-08-27 14:51:10 -07:00
Patrick Devine
d13c3daa0b
add safetensors to the modelfile docs (#6532) 2024-08-27 14:46:47 -07:00
Patrick Devine
1713eddcd0
Fix import image width (#6528) 2024-08-27 14:19:47 -07:00
Daniel Hiltgen
4e1c4f6e0b
Update manual instructions with discrete ROCm bundle (#6445) 2024-08-27 13:42:28 -07:00
Sean Khatiri
397cae7962
llm: fix typo in comment (#6530) 2024-08-27 13:28:29 -07:00
Patrick Devine
1c70a00f71 adjust image sizes 2024-08-27 11:15:25 -07:00
Michael Yang
eae3af6807 clean up convert tokenizer 2024-08-27 11:11:43 -07:00
Michael Yang
3eb08377f8 detect chat template from configs that contain lists 2024-08-27 10:49:33 -07:00
Patrick Devine
ac80010db8
update the import docs (#6104) 2024-08-26 19:57:26 -07:00
Jeffrey Morgan
47fa0839b9
server: clean up route names for consistency (#6524) 2024-08-26 19:36:11 -07:00
29 changed files with 652 additions and 146 deletions

View file

@ -32,6 +32,10 @@ linters:
linters-settings:
gci:
sections: [standard, default, localmodule]
staticcheck:
checks:
- all
- -SA1019 # omit Deprecated check
severity:
default-severity: error
rules:

View file

@ -296,15 +296,17 @@ type EmbeddingResponse struct {
// CreateRequest is the request passed to [Client.Create].
type CreateRequest struct {
Model string `json:"model"`
Path string `json:"path"`
Modelfile string `json:"modelfile"`
Stream *bool `json:"stream,omitempty"`
Quantize string `json:"quantize,omitempty"`
// Name is deprecated, see Model
// Deprecated: set the model name with Model instead
Name string `json:"name"`
// Quantization is deprecated, see Quantize
// Deprecated: set the file content with Modelfile instead
Path string `json:"path"`
// Deprecated: use Quantize instead
Quantization string `json:"quantization,omitempty"`
}
@ -312,7 +314,7 @@ type CreateRequest struct {
type DeleteRequest struct {
Model string `json:"model"`
// Name is deprecated, see Model
// Deprecated: set the model name with Model instead
Name string `json:"name"`
}
@ -327,7 +329,7 @@ type ShowRequest struct {
Options map[string]interface{} `json:"options"`
// Name is deprecated, see Model
// Deprecated: set the model name with Model instead
Name string `json:"name"`
}
@ -359,7 +361,7 @@ type PullRequest struct {
Password string `json:"password"`
Stream *bool `json:"stream,omitempty"`
// Name is deprecated, see Model
// Deprecated: set the model name with Model instead
Name string `json:"name"`
}
@ -380,7 +382,7 @@ type PushRequest struct {
Password string `json:"password"`
Stream *bool `json:"stream,omitempty"`
// Name is deprecated, see Model
// Deprecated: set the model name with Model instead
Name string `json:"name"`
}

View file

@ -87,7 +87,7 @@ DialogFontSize=12
[Files]
Source: ".\app.exe"; DestDir: "{app}"; DestName: "{#MyAppExeName}" ; Flags: ignoreversion 64bit
Source: "..\ollama.exe"; DestDir: "{app}\bin"; Flags: ignoreversion 64bit
Source: "..\ollama.exe"; DestDir: "{app}"; Flags: ignoreversion 64bit
Source: "..\dist\windows-{#ARCH}\lib\ollama\runners\*"; DestDir: "{app}\lib\ollama\runners"; Flags: ignoreversion 64bit recursesubdirs
Source: "..\dist\ollama_welcome.ps1"; DestDir: "{app}"; Flags: ignoreversion
Source: ".\assets\app.ico"; DestDir: "{app}"; Flags: ignoreversion
@ -99,7 +99,7 @@ Name: "{userstartup}\{#MyAppName}"; Filename: "{app}\{#MyAppExeName}"; IconFilen
Name: "{userprograms}\{#MyAppName}"; Filename: "{app}\{#MyAppExeName}"; IconFilename: "{app}\app.ico"
[Run]
Filename: "{cmd}"; Parameters: "/C set PATH={app}\bin;%PATH% & ""{app}\{#MyAppExeName}"""; Flags: postinstall nowait runhidden
Filename: "{cmd}"; Parameters: "/C set PATH={app};%PATH% & ""{app}\{#MyAppExeName}"""; Flags: postinstall nowait runhidden
[UninstallRun]
; Filename: "{cmd}"; Parameters: "/C ""taskkill /im ''{#MyAppExeName}'' /f /t"; Flags: runhidden
@ -134,8 +134,8 @@ SetupAppRunningError=Another Ollama installer is running.%n%nPlease cancel or fi
[Registry]
Root: HKCU; Subkey: "Environment"; \
ValueType: expandsz; ValueName: "Path"; ValueData: "{olddata};{app}\bin"; \
Check: NeedsAddPath('{app}\bin')
ValueType: expandsz; ValueName: "Path"; ValueData: "{olddata};{app}"; \
Check: NeedsAddPath('{app}')
[Code]

View file

@ -89,7 +89,7 @@ func TestMain(m *testing.M) {
os.Exit(m.Run())
}
func TestConvertFull(t *testing.T) {
func TestConvertModel(t *testing.T) {
cases := []string{
"Meta-Llama-3-8B-Instruct",
"Meta-Llama-3.1-8B-Instruct",
@ -140,6 +140,107 @@ func TestConvertFull(t *testing.T) {
}
}
func TestConvertInvalidDatatype(t *testing.T) {
f, err := os.CreateTemp(t.TempDir(), "testmodel")
if err != nil {
t.Fatal(err)
}
defer f.Close()
tempDir := t.TempDir()
generateSafetensorTestData(t, tempDir)
err = ConvertModel(os.DirFS(tempDir), f)
if err == nil || err.Error() != "unsupported safetensors model" {
t.Errorf("expected error but didn't get one")
}
}
func generateSafetensorTestData(t *testing.T, tempDir string) {
type tensorData struct {
Offsets []int `json:"data_offsets"`
Type string `json:"dtype"`
Shape []int `json:"shape"`
}
offset := 4096 * 14336
td := map[string]*tensorData{}
td["model.layers.0.mlp.down_proj.weight"] = &tensorData{
Offsets: []int{0, offset},
Type: "I8",
Shape: []int{4096, 14336},
}
td["model.layers.0.mlp.down_proj.weight_format"] = &tensorData{
Offsets: []int{offset, offset},
Type: "U8",
Shape: []int{},
}
data, err := json.Marshal(td)
if err != nil {
t.Fatal(err)
}
var buf bytes.Buffer
l := int64(len(data))
err = binary.Write(&buf, binary.LittleEndian, l)
if err != nil {
t.Fatal(err)
}
_, err = buf.Write(data)
if err != nil {
t.Fatal(err)
}
fdata, err := os.Create(filepath.Join(tempDir, "model-00001-of-00001.safetensors"))
if err != nil {
t.Fatal(err)
}
defer fdata.Close()
_, err = fdata.Write(buf.Bytes())
if err != nil {
t.Fatal(err)
}
configData := `
{
"architectures": [
"LlamaForCausalLM"
]
}
`
f, err := os.Create(filepath.Join(tempDir, "config.json"))
if err != nil {
t.Fatal(err)
}
defer f.Close()
_, err = f.WriteString(configData)
if err != nil {
t.Fatal(err)
}
tokenizerData := `
{
}
`
f, err = os.Create(filepath.Join(tempDir, "tokenizer.json"))
if err != nil {
t.Fatal(err)
}
defer f.Close()
_, err = f.WriteString(tokenizerData)
if err != nil {
t.Fatal(err)
}
}
func TestConvertAdapter(t *testing.T) {
type AdapterCase struct {
Name string

View file

@ -4,6 +4,7 @@ import (
"bytes"
"encoding/binary"
"encoding/json"
"errors"
"fmt"
"io"
"io/fs"
@ -50,6 +51,10 @@ func parseSafetensors(fsys fs.FS, replacer *strings.Replacer, ps ...string) ([]T
for _, key := range keys {
if value := headers[key]; value.Type != "" {
// bitsandbytes quantized models are unsupported
if len(value.Shape) == 0 {
return nil, errors.New("unsupported safetensors model")
}
ts = append(ts, safetensor{
fs: fsys,
path: p,

View file

@ -100,8 +100,21 @@ func parseTokenizer(fsys fs.FS, specialTokenTypes []string) (*Tokenizer, error)
}
if template, ok := p["chat_template"]; ok {
if err := json.Unmarshal(template, &t.Template); err != nil {
return nil, err
var s []struct {
Name string `json:"name"`
Template string `json:"template"`
}
if err := json.Unmarshal(template, &t.Template); err == nil {
// noop
} else if err := json.Unmarshal(template, &s); err == nil {
for _, e := range s {
if e.Name == "default" {
t.Template = e.Template
break
}
}
} else {
return nil, fmt.Errorf("invalid chat_template: %w", err)
}
}
@ -141,7 +154,6 @@ func parseTokenizer(fsys fs.FS, specialTokenTypes []string) (*Tokenizer, error)
}
type tokenizer struct {
Version string `json:"version"`
AddedTokens []token `json:"added_tokens"`
Model struct {
Type string `json:"type"`
@ -239,7 +251,7 @@ func parseVocabulary(fsys fs.FS) (*Vocabulary, error) {
return pattern.Func(fsys)
}
return nil, errors.New("unknown tensor format")
return nil, errors.New("unknown tokenizer format")
}
type SpecialVocabulary struct {

208
convert/tokenizer_test.go Normal file
View file

@ -0,0 +1,208 @@
package convert
import (
"io"
"io/fs"
"os"
"path/filepath"
"strings"
"testing"
"github.com/google/go-cmp/cmp"
)
func createTokenizerFS(t *testing.T, dir string, files map[string]io.Reader) fs.FS {
t.Helper()
for k, v := range files {
if err := func() error {
f, err := os.Create(filepath.Join(dir, k))
if err != nil {
return err
}
defer f.Close()
if _, err := io.Copy(f, v); err != nil {
return err
}
return nil
}(); err != nil {
t.Fatalf("unexpected error: %v", err)
}
}
return os.DirFS(dir)
}
func TestParseTokenizer(t *testing.T) {
cases := []struct {
name string
fsys fs.FS
specialTokenTypes []string
want *Tokenizer
}{
{
name: "string chat template",
fsys: createTokenizerFS(t, t.TempDir(), map[string]io.Reader{
"tokenizer.json": strings.NewReader(`{}`),
"tokenizer_config.json": strings.NewReader(`{
"chat_template": "<default template>"
}`),
}),
want: &Tokenizer{
Vocabulary: &Vocabulary{Model: "gpt2"},
Pre: "default",
Template: "<default template>",
},
},
{
name: "list chat template",
fsys: createTokenizerFS(t, t.TempDir(), map[string]io.Reader{
"tokenizer.json": strings.NewReader(`{}`),
"tokenizer_config.json": strings.NewReader(`{
"chat_template": [
{
"name": "default",
"template": "<default template>"
},
{
"name": "tools",
"template": "<tools template>"
}
]
}`),
}),
want: &Tokenizer{
Vocabulary: &Vocabulary{Model: "gpt2"},
Pre: "default",
Template: "<default template>",
},
},
{
name: "added tokens",
fsys: createTokenizerFS(t, t.TempDir(), map[string]io.Reader{
"tokenizer.json": strings.NewReader(`{
"added_tokens": [
{
"id": 999,
"content": "<unused999>",
"special": false
}
]
}`),
}),
want: &Tokenizer{
Vocabulary: &Vocabulary{
Model: "gpt2",
Tokens: []string{"<unused999>"},
Scores: []float32{999},
Types: []int32{4},
},
Pre: "default",
},
},
{
name: "added tokens overlap vocab",
fsys: createTokenizerFS(t, t.TempDir(), map[string]io.Reader{
"tokenizer.json": strings.NewReader(`{
"added_tokens": [
{
"id": 0,
"content": "<pad>",
"special": true
}
],
"model": {
"vocab": {
"<pad>": 0
}
}
}`),
}),
want: &Tokenizer{
Vocabulary: &Vocabulary{
Model: "gpt2",
Tokens: []string{"<pad>"},
Scores: []float32{0},
Types: []int32{3},
},
Pre: "default",
},
},
{
name: "special token types",
fsys: createTokenizerFS(t, t.TempDir(), map[string]io.Reader{
"tokenizer.json": strings.NewReader(`{
"added_tokens": [
{
"id": 0,
"content": "<pad>",
"special": true
},
{
"id": 1,
"content": "<eos>",
"special": true
},
{
"id": 2,
"content": "<bos>",
"special": true
},
{
"id": 3,
"content": "<unk>",
"special": true
}
],
"model": {
"vocab": {
"<pad>": 0,
"<eos>": 1,
"<bos>": 2,
"<unk>": 3
}
}
}`),
"tokenizer_config.json": strings.NewReader(`{
"add_bos_token": true,
"add_eos_token": false,
"bos_token": "<bos>",
"eos_token": "<eos>",
"pad_token": "<pad>",
"unk_token": "<unk>"
}`),
}),
specialTokenTypes: []string{"pad", "eos", "bos", "unk"},
want: &Tokenizer{
Vocabulary: &Vocabulary{
Model: "gpt2",
Tokens: []string{"<pad>", "<eos>", "<bos>", "<unk>"},
Scores: []float32{0, 1, 2, 3},
Types: []int32{3, 3, 3, 3},
},
SpecialVocabulary: []*SpecialVocabulary{
{Type: "pad", Content: "<pad>", ID: 0, AddToken: false},
{Type: "eos", Content: "<eos>", ID: 1, AddToken: false},
{Type: "bos", Content: "<bos>", ID: 2, AddToken: true},
{Type: "unk", Content: "<unk>", ID: 3, AddToken: false},
},
Pre: "default",
},
},
}
for _, tt := range cases {
t.Run(tt.name, func(t *testing.T) {
tokenizer, err := parseTokenizer(tt.fsys, tt.specialTokenTypes)
if err != nil {
t.Fatalf("unexpected error: %v", err)
}
if diff := cmp.Diff(tt.want, tokenizer); diff != "" {
t.Errorf("unexpected tokenizer (-want +got):\n%s", diff)
}
})
}
}

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@ -1,44 +1,129 @@
# Import
# Importing a model
GGUF models and select Safetensors models can be imported directly into Ollama.
## Table of Contents
## Import GGUF
* [Importing a Safetensors adapter](#Importing-a-fine-tuned-adapter-from-Safetensors-weights)
* [Importing a Safetensors model](#Importing-a-model-from-Safetensors-weights)
* [Importing a GGUF file](#Importing-a-GGUF-based-model-or-adapter)
* [Sharing models on ollama.com](#Sharing-your-model-on-ollamacom)
A binary GGUF file can be imported directly into Ollama through a Modelfile.
## Importing a fine tuned adapter from Safetensors weights
First, create a `Modelfile` with a `FROM` command pointing at the base model you used for fine tuning, and an `ADAPTER` command which points to the directory with your Safetensors adapter:
```dockerfile
FROM /path/to/file.gguf
FROM <base model name>
ADAPTER /path/to/safetensors/adapter/directory
```
## Import Safetensors
Make sure that you use the same base model in the `FROM` command as you used to create the adapter otherwise you will get erratic results. Most frameworks use different quantization methods, so it's best to use non-quantized (i.e. non-QLoRA) adapters. If your adapter is in the same directory as your `Modelfile`, use `ADAPTER .` to specify the adapter path.
If the model being imported is one of these architectures, it can be imported directly into Ollama through a Modelfile:
Now run `ollama create` from the directory where the `Modelfile` was created:
- LlamaForCausalLM
- MistralForCausalLM
- MixtralForCausalLM
- GemmaForCausalLM
- Phi3ForCausalLM
```bash
ollama create my-model
```
Lastly, test the model:
```bash
ollama run my-model
```
Ollama supports importing adapters based on several different model architectures including:
* Llama (including Llama 2, Llama 3, and Llama 3.1);
* Mistral (including Mistral 1, Mistral 2, and Mixtral); and
* Gemma (including Gemma 1 and Gemma 2)
You can create the adapter using a fine tuning framework or tool which can output adapters in the Safetensors format, such as:
* Hugging Face [fine tuning framework] (https://huggingface.co/docs/transformers/en/training)
* [Unsloth](https://github.com/unslothai/unsloth)
* [MLX](https://github.com/ml-explore/mlx)
## Importing a model from Safetensors weights
First, create a `Modelfile` with a `FROM` command which points to the directory containing your Safetensors weights:
```dockerfile
FROM /path/to/safetensors/directory
```
For architectures not directly convertable by Ollama, see llama.cpp's [guide](https://github.com/ggerganov/llama.cpp/blob/master/README.md#prepare-and-quantize) on conversion. After conversion, see [Import GGUF](#import-gguf).
If you create the Modelfile in the same directory as the weights, you can use the command `FROM .`.
## Automatic Quantization
Now run the `ollama create` command from the directory where you created the `Modelfile`:
> [!NOTE]
> Automatic quantization requires v0.1.35 or higher.
```shell
ollama create my-model
```
Ollama is capable of quantizing FP16 or FP32 models to any of the supported quantizations with the `-q/--quantize` flag in `ollama create`.
Lastly, test the model:
```shell
ollama run my-model
```
Ollama supports importing models for several different architectures including:
* Llama (including Llama 2, Llama 3, and Llama 3.1);
* Mistral (including Mistral 1, Mistral 2, and Mixtral);
* Gemma (including Gemma 1 and Gemma 2); and
* Phi3
This includes importing foundation models as well as any fine tuned models which which have been _fused_ with a foundation model.
## Importing a GGUF based model or adapter
If you have a GGUF based model or adapter it is possible to import it into Ollama. You can obtain a GGUF model or adapter by:
* converting a Safetensors model with the `convert_hf_to_gguf.py` from Llama.cpp;
* converting a Safetensors adapter with the `convert_lora_to_gguf.py` from Llama.cpp; or
* downloading a model or adapter from a place such as HuggingFace
To import a GGUF model, create a `Modelfile` containg:
```dockerfile
FROM /path/to/file.gguf
```
For a GGUF adapter, create the `Modelfile` with:
```dockerfile
FROM <model name>
ADAPTER /path/to/file.gguf
```
When importing a GGUF adapter, it's important to use the same base model as the base model that the adapter was created with. You can use:
* a model from Ollama
* a GGUF file
* a Safetensors based model
Once you have created your `Modelfile`, use the `ollama create` command to build the model.
```shell
ollama create my-model
```
## Quantizing a Model
Quantizing a model allows you to run models faster and with less memory consumption but at reduced accuracy. This allows you to run a model on more modest hardware.
Ollama can quantize FP16 and FP32 based models into different quantization levels using the `-q/--quantize` flag with the `ollama create` command.
First, create a Modelfile with the FP16 or FP32 based model you wish to quantize.
```dockerfile
FROM /path/to/my/gemma/f16/model
```
Use `ollama create` to then create the quantized model.
```shell
$ ollama create -q Q4_K_M mymodel
$ ollama create --quantize q4_K_M mymodel
transferring model data
quantizing F16 model to Q4_K_M
creating new layer sha256:735e246cc1abfd06e9cdcf95504d6789a6cd1ad7577108a70d9902fef503c1bd
@ -49,42 +134,53 @@ success
### Supported Quantizations
- `Q4_0`
- `Q4_1`
- `Q5_0`
- `Q5_1`
- `Q8_0`
- `q4_0`
- `q4_1`
- `q5_0`
- `q5_1`
- `q8_0`
#### K-means Quantizations
- `Q3_K_S`
- `Q3_K_M`
- `Q3_K_L`
- `Q4_K_S`
- `Q4_K_M`
- `Q5_K_S`
- `Q5_K_M`
- `Q6_K`
- `q3_K_S`
- `q3_K_M`
- `q3_K_L`
- `q4_K_S`
- `q4_K_M`
- `q5_K_S`
- `q5_K_M`
- `q6_K`
## Template Detection
> [!NOTE]
> Template detection requires v0.1.42 or higher.
## Sharing your model on ollama.com
Ollama uses model metadata, specifically `tokenizer.chat_template`, to automatically create a template appropriate for the model you're importing.
You can share any model you have created by pushing it to [ollama.com](https://ollama.com) so that other users can try it out.
```dockerfile
FROM /path/to/my/gemma/model
```
First, use your browser to go to the [Ollama Sign-Up](https://ollama.com/signup) page. If you already have an account, you can skip this step.
<img src="images/signup.png" alt="Sign-Up" width="40%">
The `Username` field will be used as part of your model's name (e.g. `jmorganca/mymodel`), so make sure you are comfortable with the username that you have selected.
Now that you have created an account and are signed-in, go to the [Ollama Keys Settings](https://ollama.com/settings/keys) page.
Follow the directions on the page to determine where your Ollama Public Key is located.
<img src="images/ollama-keys.png" alt="Ollama Keys" width="80%">
Click on the `Add Ollama Public Key` button, and copy and paste the contents of your Ollama Public Key into the text field.
To push a model to [ollama.com](https://ollama.com), first make sure that it is named correctly with your username. You may have to use the `ollama cp` command to copy
your model to give it the correct name. Once you're happy with your model's name, use the `ollama push` command to push it to [ollama.com](https://ollama.com).
```shell
$ ollama create mymodel
transferring model data
using autodetected template gemma-instruct
creating new layer sha256:baa2a0edc27d19cc6b7537578a9a7ba1a4e3214dc185ed5ae43692b319af7b84
creating new layer sha256:ba66c3309914dbef07e5149a648fd1877f030d337a4f240d444ea335008943cb
writing manifest
success
ollama cp mymodel myuser/mymodel
ollama push myuser/mymodel
```
Once your model has been pushed, other users can pull and run it by using the command:
```shell
ollama run myuser/mymodel
```
Defining a template in the Modelfile will disable this feature which may be useful if you want to use a different template than the autodetected one.

View file

@ -28,6 +28,11 @@ Download and extract the Linux package:
curl -fsSL https://ollama.com/download/ollama-linux-amd64.tgz | sudo tar zx -C /usr
```
If you have an AMD GPU, also download and extract the ROCm package into the same location
```bash
curl -fsSL https://ollama.com/download/ollama-linux-amd64-rocm.tgz | sudo tar zx -C /usr
```
### Adding Ollama as a startup service (recommended)
Create a user for Ollama:

View file

@ -11,8 +11,9 @@ A model file is the blueprint to create and share models with Ollama.
- [Examples](#examples)
- [Instructions](#instructions)
- [FROM (Required)](#from-required)
- [Build from llama3](#build-from-llama3)
- [Build from a bin file](#build-from-a-bin-file)
- [Build from llama3.1](#build-from-llama31)
- [Build from a Safetensors model](#build-from-a-safetensors-model)
- [Build from a GGUF file](#build-from-a-gguf-file)
- [PARAMETER](#parameter)
- [Valid Parameters and Values](#valid-parameters-and-values)
- [TEMPLATE](#template)
@ -99,22 +100,39 @@ The `FROM` instruction defines the base model to use when creating a model.
FROM <model name>:<tag>
```
#### Build from llama3
#### Build from llama3.1
```modelfile
FROM llama3
FROM llama3.1
```
A list of available base models:
<https://github.com/ollama/ollama#model-library>
Additional models can be found at:
<https://ollama.com/library>
#### Build from a `bin` file
#### Build from a Safetensors model
```modelfile
FROM <model directory>
```
The model directory should contain the Safetensors weights for a supported architecture.
Currently supported model architectures:
* Llama (including Llama 2, Llama 3, and Llama 3.1)
* Mistral (including Mistral 1, Mistral 2, and Mixtral)
* Gemma (including Gemma 1 and Gemma 2)
* Phi3
#### Build from a GGUF file
```modelfile
FROM ./ollama-model.bin
```
This bin file location should be specified as an absolute path or relative to the `Modelfile` location.
The GGUF bin file location should be specified as an absolute path or relative to the `Modelfile` location.
### PARAMETER
@ -174,7 +192,20 @@ SYSTEM """<system message>"""
### ADAPTER
The `ADAPTER` instruction is an optional instruction that specifies any LoRA adapter that should apply to the base model. The value of this instruction should be an absolute path or a path relative to the Modelfile and the file must be in a GGML file format. The adapter should be tuned from the base model otherwise the behaviour is undefined.
The `ADAPTER` instruction specifies a fine tuned LoRA adapter that should apply to the base model. The value of the adapter should be an absolute path or a path relative to the Modelfile. The base model should be specified with a `FROM` instruction. If the base model is not the same as the base model that the adapter was tuned from the behaviour will be erratic.
#### Safetensor adapter
```modelfile
ADAPTER <path to safetensor adapter>
```
Currently supported Safetensor adapters:
* Llama (including Llama 2, Llama 3, and Llama 3.1)
* Mistral (including Mistral 1, Mistral 2, and Mixtral)
* Gemma (including Gemma 1 and Gemma 2)
#### GGUF adapter
```modelfile
ADAPTER ./ollama-lora.bin

View file

@ -300,3 +300,28 @@ curl http://localhost:11434/v1/chat/completions \
]
}'
```
### Setting the context size
The OpenAI API does not have a way of setting the context size for a model. If you need to change the context size, create a `Modelfile` which looks like:
```modelfile
FROM <some model>
PARAMETER num_ctx <context size>
```
Use the `ollama create mymodel` command to create a new model with the updated context size. Call the API with the updated model name:
```shell
curl http://localhost:11434/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "mymodel",
"messages": [
{
"role": "user",
"content": "Hello!"
}
]
}'
```

View file

@ -190,7 +190,7 @@ func RunnersDir() (p string) {
}
var paths []string
for _, root := range []string{filepath.Dir(exe), filepath.Join(filepath.Dir(exe), ".."), cwd} {
for _, root := range []string{filepath.Dir(exe), filepath.Join(filepath.Dir(exe), LibRelativeToExe()), cwd} {
paths = append(paths,
root,
filepath.Join(root, runtime.GOOS+"-"+runtime.GOARCH),
@ -282,3 +282,12 @@ func Values() map[string]string {
func Var(key string) string {
return strings.Trim(strings.TrimSpace(os.Getenv(key)), "\"'")
}
// On windows, we keep the binary at the top directory, but
// other platforms use a "bin" directory, so this returns ".."
func LibRelativeToExe() string {
if runtime.GOOS == "windows" {
return "."
}
return ".."
}

View file

@ -9,6 +9,8 @@ import (
"path/filepath"
"runtime"
"strings"
"github.com/ollama/ollama/envconfig"
)
// Determine if the given ROCm lib directory is usable by checking for existence of some glob patterns
@ -54,7 +56,7 @@ func commonAMDValidateLibDir() (string, error) {
// Installer payload location if we're running the installed binary
exe, err := os.Executable()
if err == nil {
rocmTargetDir := filepath.Join(filepath.Dir(exe), "..", "lib", "ollama")
rocmTargetDir := filepath.Join(filepath.Dir(exe), envconfig.LibRelativeToExe(), "lib", "ollama")
if rocmLibUsable(rocmTargetDir) {
slog.Debug("detected ROCM next to ollama executable " + rocmTargetDir)
return rocmTargetDir, nil

View file

@ -153,7 +153,7 @@ func AMDValidateLibDir() (string, error) {
// Installer payload (if we're running from some other location)
localAppData := os.Getenv("LOCALAPPDATA")
appDir := filepath.Join(localAppData, "Programs", "Ollama")
rocmTargetDir := filepath.Join(appDir, "..", "lib", "ollama")
rocmTargetDir := filepath.Join(appDir, envconfig.LibRelativeToExe(), "lib", "ollama")
if rocmLibUsable(rocmTargetDir) {
slog.Debug("detected ollama installed ROCm at " + rocmTargetDir)
return rocmTargetDir, nil

View file

@ -653,7 +653,7 @@ func LibraryDir() string {
slog.Warn("failed to lookup working directory", "error", err)
}
// Scan for any of our dependeices, and pick first match
for _, root := range []string{filepath.Dir(appExe), filepath.Join(filepath.Dir(appExe), ".."), cwd} {
for _, root := range []string{filepath.Dir(appExe), filepath.Join(filepath.Dir(appExe), envconfig.LibRelativeToExe()), cwd} {
libDep := filepath.Join("lib", "ollama")
if _, err := os.Stat(filepath.Join(root, libDep)); err == nil {
return filepath.Join(root, libDep)

View file

@ -122,8 +122,8 @@ function buildOllama() {
/csp "Google Cloud KMS Provider" /kc ${env:KEY_CONTAINER} ollama.exe
if ($LASTEXITCODE -ne 0) { exit($LASTEXITCODE)}
}
New-Item -ItemType Directory -Path .\dist\windows-${script:TARGET_ARCH}\bin\ -Force
cp .\ollama.exe .\dist\windows-${script:TARGET_ARCH}\bin\
New-Item -ItemType Directory -Path .\dist\windows-${script:TARGET_ARCH}\ -Force
cp .\ollama.exe .\dist\windows-${script:TARGET_ARCH}\
}
function buildApp() {

View file

@ -139,6 +139,7 @@ The temperature in San Francisco, CA is 70°F and in Toronto, Canada is 20°C.`,
func TestParseFromFileFromLayer(t *testing.T) {
tempModels := t.TempDir()
t.Setenv("OLLAMA_MODELS", tempModels)
file, err := os.CreateTemp(tempModels, "")
if err != nil {
@ -189,6 +190,7 @@ func TestParseFromFileFromLayer(t *testing.T) {
func TestParseLayerFromCopy(t *testing.T) {
tempModels := t.TempDir()
t.Setenv("OLLAMA_MODELS", tempModels)
file2, err := os.CreateTemp(tempModels, "")
if err != nil {

View file

@ -73,18 +73,6 @@ func ParseModelPath(name string) ModelPath {
var errModelPathInvalid = errors.New("invalid model path")
func (mp ModelPath) Validate() error {
if mp.Repository == "" {
return fmt.Errorf("%w: model repository name is required", errModelPathInvalid)
}
if strings.Contains(mp.Tag, ":") {
return fmt.Errorf("%w: ':' (colon) is not allowed in tag names", errModelPathInvalid)
}
return nil
}
func (mp ModelPath) GetNamespaceRepository() string {
return fmt.Sprintf("%s/%s", mp.Namespace, mp.Repository)
}
@ -105,7 +93,11 @@ func (mp ModelPath) GetShortTagname() string {
// GetManifestPath returns the path to the manifest file for the given model path, it is up to the caller to create the directory if it does not exist.
func (mp ModelPath) GetManifestPath() (string, error) {
return filepath.Join(envconfig.Models(), "manifests", mp.Registry, mp.Namespace, mp.Repository, mp.Tag), nil
if p := filepath.Join(mp.Registry, mp.Namespace, mp.Repository, mp.Tag); filepath.IsLocal(p) {
return filepath.Join(envconfig.Models(), "manifests", p), nil
}
return "", errModelPathInvalid
}
func (mp ModelPath) BaseURL() *url.URL {

View file

@ -1,6 +1,7 @@
package server
import (
"errors"
"os"
"path/filepath"
"testing"
@ -154,3 +155,10 @@ func TestParseModelPath(t *testing.T) {
})
}
}
func TestInsecureModelpath(t *testing.T) {
mp := ParseModelPath("../../..:something")
if _, err := mp.GetManifestPath(); !errors.Is(err, errModelPathInvalid) {
t.Errorf("expected error: %v", err)
}
}

View file

@ -463,7 +463,7 @@ func (s *Server) EmbeddingsHandler(c *gin.Context) {
c.JSON(http.StatusOK, resp)
}
func (s *Server) PullModelHandler(c *gin.Context) {
func (s *Server) PullHandler(c *gin.Context) {
var req api.PullRequest
err := c.ShouldBindJSON(&req)
switch {
@ -513,7 +513,7 @@ func (s *Server) PullModelHandler(c *gin.Context) {
streamResponse(c, ch)
}
func (s *Server) PushModelHandler(c *gin.Context) {
func (s *Server) PushHandler(c *gin.Context) {
var req api.PushRequest
err := c.ShouldBindJSON(&req)
switch {
@ -577,7 +577,7 @@ func checkNameExists(name model.Name) error {
return nil
}
func (s *Server) CreateModelHandler(c *gin.Context) {
func (s *Server) CreateHandler(c *gin.Context) {
var r api.CreateRequest
if err := c.ShouldBindJSON(&r); errors.Is(err, io.EOF) {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "missing request body"})
@ -647,7 +647,7 @@ func (s *Server) CreateModelHandler(c *gin.Context) {
streamResponse(c, ch)
}
func (s *Server) DeleteModelHandler(c *gin.Context) {
func (s *Server) DeleteHandler(c *gin.Context) {
var r api.DeleteRequest
if err := c.ShouldBindJSON(&r); errors.Is(err, io.EOF) {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "missing request body"})
@ -680,7 +680,7 @@ func (s *Server) DeleteModelHandler(c *gin.Context) {
}
}
func (s *Server) ShowModelHandler(c *gin.Context) {
func (s *Server) ShowHandler(c *gin.Context) {
var req api.ShowRequest
err := c.ShouldBindJSON(&req)
switch {
@ -829,7 +829,7 @@ func getKVData(digest string, verbose bool) (llm.KV, error) {
return kv, nil
}
func (s *Server) ListModelsHandler(c *gin.Context) {
func (s *Server) ListHandler(c *gin.Context) {
ms, err := Manifests()
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
@ -879,7 +879,7 @@ func (s *Server) ListModelsHandler(c *gin.Context) {
c.JSON(http.StatusOK, api.ListResponse{Models: models})
}
func (s *Server) CopyModelHandler(c *gin.Context) {
func (s *Server) CopyHandler(c *gin.Context) {
var r api.CopyRequest
if err := c.ShouldBindJSON(&r); errors.Is(err, io.EOF) {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "missing request body"})
@ -1081,33 +1081,33 @@ func (s *Server) GenerateRoutes() http.Handler {
allowedHostsMiddleware(s.addr),
)
r.POST("/api/pull", s.PullModelHandler)
r.POST("/api/pull", s.PullHandler)
r.POST("/api/generate", s.GenerateHandler)
r.POST("/api/chat", s.ChatHandler)
r.POST("/api/embed", s.EmbedHandler)
r.POST("/api/embeddings", s.EmbeddingsHandler)
r.POST("/api/create", s.CreateModelHandler)
r.POST("/api/push", s.PushModelHandler)
r.POST("/api/copy", s.CopyModelHandler)
r.DELETE("/api/delete", s.DeleteModelHandler)
r.POST("/api/show", s.ShowModelHandler)
r.POST("/api/create", s.CreateHandler)
r.POST("/api/push", s.PushHandler)
r.POST("/api/copy", s.CopyHandler)
r.DELETE("/api/delete", s.DeleteHandler)
r.POST("/api/show", s.ShowHandler)
r.POST("/api/blobs/:digest", s.CreateBlobHandler)
r.HEAD("/api/blobs/:digest", s.HeadBlobHandler)
r.GET("/api/ps", s.ProcessHandler)
r.GET("/api/ps", s.PsHandler)
// Compatibility endpoints
r.POST("/v1/chat/completions", openai.ChatMiddleware(), s.ChatHandler)
r.POST("/v1/completions", openai.CompletionsMiddleware(), s.GenerateHandler)
r.POST("/v1/embeddings", openai.EmbeddingsMiddleware(), s.EmbedHandler)
r.GET("/v1/models", openai.ListMiddleware(), s.ListModelsHandler)
r.GET("/v1/models/:model", openai.RetrieveMiddleware(), s.ShowModelHandler)
r.GET("/v1/models", openai.ListMiddleware(), s.ListHandler)
r.GET("/v1/models/:model", openai.RetrieveMiddleware(), s.ShowHandler)
for _, method := range []string{http.MethodGet, http.MethodHead} {
r.Handle(method, "/", func(c *gin.Context) {
c.String(http.StatusOK, "Ollama is running")
})
r.Handle(method, "/api/tags", s.ListModelsHandler)
r.Handle(method, "/api/tags", s.ListHandler)
r.Handle(method, "/api/version", func(c *gin.Context) {
c.JSON(http.StatusOK, gin.H{"version": version.Version})
})
@ -1269,7 +1269,7 @@ func streamResponse(c *gin.Context, ch chan any) {
})
}
func (s *Server) ProcessHandler(c *gin.Context) {
func (s *Server) PsHandler(c *gin.Context) {
models := []api.ProcessModelResponse{}
for _, v := range s.sched.loaded {

View file

@ -93,7 +93,7 @@ func TestCreateFromBin(t *testing.T) {
t.Setenv("OLLAMA_MODELS", p)
var s Server
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
w := createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "test",
Modelfile: fmt.Sprintf("FROM %s", createBinFile(t, nil, nil)),
Stream: &stream,
@ -120,7 +120,7 @@ func TestCreateFromModel(t *testing.T) {
t.Setenv("OLLAMA_MODELS", p)
var s Server
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
w := createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "test",
Modelfile: fmt.Sprintf("FROM %s", createBinFile(t, nil, nil)),
Stream: &stream,
@ -134,7 +134,7 @@ func TestCreateFromModel(t *testing.T) {
filepath.Join(p, "manifests", "registry.ollama.ai", "library", "test", "latest"),
})
w = createRequest(t, s.CreateModelHandler, api.CreateRequest{
w = createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "test2",
Modelfile: "FROM test",
Stream: &stream,
@ -162,7 +162,7 @@ func TestCreateRemovesLayers(t *testing.T) {
t.Setenv("OLLAMA_MODELS", p)
var s Server
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
w := createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "test",
Modelfile: fmt.Sprintf("FROM %s\nTEMPLATE {{ .Prompt }}", createBinFile(t, nil, nil)),
Stream: &stream,
@ -182,7 +182,7 @@ func TestCreateRemovesLayers(t *testing.T) {
filepath.Join(p, "blobs", "sha256-bc80b03733773e0728011b2f4adf34c458b400e1aad48cb28d61170f3a2ad2d6"),
})
w = createRequest(t, s.CreateModelHandler, api.CreateRequest{
w = createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "test",
Modelfile: fmt.Sprintf("FROM %s\nTEMPLATE {{ .System }} {{ .Prompt }}", createBinFile(t, nil, nil)),
Stream: &stream,
@ -210,7 +210,7 @@ func TestCreateUnsetsSystem(t *testing.T) {
t.Setenv("OLLAMA_MODELS", p)
var s Server
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
w := createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "test",
Modelfile: fmt.Sprintf("FROM %s\nSYSTEM Say hi!", createBinFile(t, nil, nil)),
Stream: &stream,
@ -230,7 +230,7 @@ func TestCreateUnsetsSystem(t *testing.T) {
filepath.Join(p, "blobs", "sha256-f29e82a8284dbdf5910b1555580ff60b04238b8da9d5e51159ada67a4d0d5851"),
})
w = createRequest(t, s.CreateModelHandler, api.CreateRequest{
w = createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "test",
Modelfile: fmt.Sprintf("FROM %s\nSYSTEM \"\"", createBinFile(t, nil, nil)),
Stream: &stream,
@ -267,7 +267,7 @@ func TestCreateMergeParameters(t *testing.T) {
t.Setenv("OLLAMA_MODELS", p)
var s Server
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
w := createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "test",
Modelfile: fmt.Sprintf("FROM %s\nPARAMETER temperature 1\nPARAMETER top_k 10\nPARAMETER stop USER:\nPARAMETER stop ASSISTANT:", createBinFile(t, nil, nil)),
Stream: &stream,
@ -288,7 +288,7 @@ func TestCreateMergeParameters(t *testing.T) {
})
// in order to merge parameters, the second model must be created FROM the first
w = createRequest(t, s.CreateModelHandler, api.CreateRequest{
w = createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "test2",
Modelfile: "FROM test\nPARAMETER temperature 0.6\nPARAMETER top_p 0.7",
Stream: &stream,
@ -326,7 +326,7 @@ func TestCreateMergeParameters(t *testing.T) {
}
// slices are replaced
w = createRequest(t, s.CreateModelHandler, api.CreateRequest{
w = createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "test2",
Modelfile: "FROM test\nPARAMETER temperature 0.6\nPARAMETER top_p 0.7\nPARAMETER stop <|endoftext|>",
Stream: &stream,
@ -371,7 +371,7 @@ func TestCreateReplacesMessages(t *testing.T) {
t.Setenv("OLLAMA_MODELS", p)
var s Server
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
w := createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "test",
Modelfile: fmt.Sprintf("FROM %s\nMESSAGE assistant \"What is my purpose?\"\nMESSAGE user \"You run tests.\"\nMESSAGE assistant \"Oh, my god.\"", createBinFile(t, nil, nil)),
Stream: &stream,
@ -391,7 +391,7 @@ func TestCreateReplacesMessages(t *testing.T) {
filepath.Join(p, "blobs", "sha256-e0e27d47045063ccb167ae852c51d49a98eab33fabaee4633fdddf97213e40b5"),
})
w = createRequest(t, s.CreateModelHandler, api.CreateRequest{
w = createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "test2",
Modelfile: "FROM test\nMESSAGE assistant \"You're a test, Harry.\"\nMESSAGE user \"I-I'm a what?\"\nMESSAGE assistant \"A test. And a thumping good one at that, I'd wager.\"",
Stream: &stream,
@ -448,7 +448,7 @@ func TestCreateTemplateSystem(t *testing.T) {
t.Setenv("OLLAMA_MODELS", p)
var s Server
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
w := createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "test",
Modelfile: fmt.Sprintf("FROM %s\nTEMPLATE {{ .Prompt }}\nSYSTEM Say hello!\nTEMPLATE {{ .System }} {{ .Prompt }}\nSYSTEM Say bye!", createBinFile(t, nil, nil)),
Stream: &stream,
@ -488,7 +488,7 @@ func TestCreateTemplateSystem(t *testing.T) {
}
t.Run("incomplete template", func(t *testing.T) {
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
w := createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "test",
Modelfile: fmt.Sprintf("FROM %s\nTEMPLATE {{ .Prompt", createBinFile(t, nil, nil)),
Stream: &stream,
@ -500,7 +500,7 @@ func TestCreateTemplateSystem(t *testing.T) {
})
t.Run("template with unclosed if", func(t *testing.T) {
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
w := createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "test",
Modelfile: fmt.Sprintf("FROM %s\nTEMPLATE {{ if .Prompt }}", createBinFile(t, nil, nil)),
Stream: &stream,
@ -512,7 +512,7 @@ func TestCreateTemplateSystem(t *testing.T) {
})
t.Run("template with undefined function", func(t *testing.T) {
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
w := createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "test",
Modelfile: fmt.Sprintf("FROM %s\nTEMPLATE {{ Prompt }}", createBinFile(t, nil, nil)),
Stream: &stream,
@ -531,7 +531,7 @@ func TestCreateLicenses(t *testing.T) {
t.Setenv("OLLAMA_MODELS", p)
var s Server
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
w := createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "test",
Modelfile: fmt.Sprintf("FROM %s\nLICENSE MIT\nLICENSE Apache-2.0", createBinFile(t, nil, nil)),
Stream: &stream,
@ -579,7 +579,7 @@ func TestCreateDetectTemplate(t *testing.T) {
var s Server
t.Run("matched", func(t *testing.T) {
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
w := createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "test",
Modelfile: fmt.Sprintf("FROM %s", createBinFile(t, llm.KV{
"tokenizer.chat_template": "{{ bos_token }}{% for message in messages %}{{'<|' + message['role'] + '|>' + '\n' + message['content'] + '<|end|>\n' }}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
@ -600,7 +600,7 @@ func TestCreateDetectTemplate(t *testing.T) {
})
t.Run("unmatched", func(t *testing.T) {
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
w := createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "test",
Modelfile: fmt.Sprintf("FROM %s", createBinFile(t, nil, nil)),
Stream: &stream,

View file

@ -22,7 +22,7 @@ func TestDelete(t *testing.T) {
var s Server
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
w := createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "test",
Modelfile: fmt.Sprintf("FROM %s", createBinFile(t, nil, nil)),
})
@ -31,7 +31,7 @@ func TestDelete(t *testing.T) {
t.Fatalf("expected status code 200, actual %d", w.Code)
}
w = createRequest(t, s.CreateModelHandler, api.CreateRequest{
w = createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "test2",
Modelfile: fmt.Sprintf("FROM %s\nTEMPLATE {{ .System }} {{ .Prompt }}", createBinFile(t, nil, nil)),
})
@ -52,7 +52,7 @@ func TestDelete(t *testing.T) {
filepath.Join(p, "blobs", "sha256-fe7ac77b725cda2ccad03f88a880ecdfd7a33192d6cae08fce2c0ee1455991ed"),
})
w = createRequest(t, s.DeleteModelHandler, api.DeleteRequest{Name: "test"})
w = createRequest(t, s.DeleteHandler, api.DeleteRequest{Name: "test"})
if w.Code != http.StatusOK {
t.Fatalf("expected status code 200, actual %d", w.Code)
@ -68,7 +68,7 @@ func TestDelete(t *testing.T) {
filepath.Join(p, "blobs", "sha256-fe7ac77b725cda2ccad03f88a880ecdfd7a33192d6cae08fce2c0ee1455991ed"),
})
w = createRequest(t, s.DeleteModelHandler, api.DeleteRequest{Name: "test2"})
w = createRequest(t, s.DeleteHandler, api.DeleteRequest{Name: "test2"})
if w.Code != http.StatusOK {
t.Fatalf("expected status code 200, actual %d", w.Code)
@ -102,7 +102,7 @@ func TestDeleteDuplicateLayers(t *testing.T) {
t.Fatal(err)
}
w := createRequest(t, s.DeleteModelHandler, api.DeleteRequest{Name: "test"})
w := createRequest(t, s.DeleteHandler, api.DeleteRequest{Name: "test"})
if w.Code != http.StatusOK {
t.Errorf("expected status code 200, actual %d", w.Code)
}

View file

@ -84,7 +84,7 @@ func TestGenerateChat(t *testing.T) {
go s.sched.Run(context.TODO())
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
w := createRequest(t, s.CreateHandler, api.CreateRequest{
Model: "test",
Modelfile: fmt.Sprintf(`FROM %s
TEMPLATE """
@ -144,7 +144,7 @@ func TestGenerateChat(t *testing.T) {
})
t.Run("missing capabilities chat", func(t *testing.T) {
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
w := createRequest(t, s.CreateHandler, api.CreateRequest{
Model: "bert",
Modelfile: fmt.Sprintf("FROM %s", createBinFile(t, llm.KV{
"general.architecture": "bert",
@ -270,7 +270,7 @@ func TestGenerateChat(t *testing.T) {
checkChatResponse(t, w.Body, "test", "Hi!")
})
w = createRequest(t, s.CreateModelHandler, api.CreateRequest{
w = createRequest(t, s.CreateHandler, api.CreateRequest{
Model: "test-system",
Modelfile: "FROM test\nSYSTEM You are a helpful assistant.",
})
@ -382,7 +382,7 @@ func TestGenerate(t *testing.T) {
go s.sched.Run(context.TODO())
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
w := createRequest(t, s.CreateHandler, api.CreateRequest{
Model: "test",
Modelfile: fmt.Sprintf(`FROM %s
TEMPLATE """
@ -442,7 +442,7 @@ func TestGenerate(t *testing.T) {
})
t.Run("missing capabilities generate", func(t *testing.T) {
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
w := createRequest(t, s.CreateHandler, api.CreateRequest{
Model: "bert",
Modelfile: fmt.Sprintf("FROM %s", createBinFile(t, llm.KV{
"general.architecture": "bert",
@ -583,7 +583,7 @@ func TestGenerate(t *testing.T) {
checkGenerateResponse(t, w.Body, "test", "Hi!")
})
w = createRequest(t, s.CreateModelHandler, api.CreateRequest{
w = createRequest(t, s.CreateHandler, api.CreateRequest{
Model: "test-system",
Modelfile: "FROM test\nSYSTEM You are a helpful assistant.",
})
@ -652,7 +652,7 @@ func TestGenerate(t *testing.T) {
checkGenerateResponse(t, w.Body, "test-system", "Abra kadabra!")
})
w = createRequest(t, s.CreateModelHandler, api.CreateRequest{
w = createRequest(t, s.CreateHandler, api.CreateRequest{
Model: "test-suffix",
Modelfile: `FROM test
TEMPLATE """{{- if .Suffix }}<PRE> {{ .Prompt }} <SUF>{{ .Suffix }} <MID>

View file

@ -31,13 +31,13 @@ func TestList(t *testing.T) {
var s Server
for _, n := range expectNames {
createRequest(t, s.CreateModelHandler, api.CreateRequest{
createRequest(t, s.CreateHandler, api.CreateRequest{
Name: n,
Modelfile: fmt.Sprintf("FROM %s", createBinFile(t, nil, nil)),
})
}
w := createRequest(t, s.ListModelsHandler, nil)
w := createRequest(t, s.ListHandler, nil)
if w.Code != http.StatusOK {
t.Fatalf("expected status code 200, actual %d", w.Code)
}

View file

@ -318,7 +318,7 @@ func TestCase(t *testing.T) {
var s Server
for _, tt := range cases {
t.Run(tt, func(t *testing.T) {
w := createRequest(t, s.CreateModelHandler, api.CreateRequest{
w := createRequest(t, s.CreateHandler, api.CreateRequest{
Name: tt,
Modelfile: fmt.Sprintf("FROM %s", createBinFile(t, nil, nil)),
Stream: &stream,
@ -334,7 +334,7 @@ func TestCase(t *testing.T) {
}
t.Run("create", func(t *testing.T) {
w = createRequest(t, s.CreateModelHandler, api.CreateRequest{
w = createRequest(t, s.CreateHandler, api.CreateRequest{
Name: strings.ToUpper(tt),
Modelfile: fmt.Sprintf("FROM %s", createBinFile(t, nil, nil)),
Stream: &stream,
@ -350,7 +350,7 @@ func TestCase(t *testing.T) {
})
t.Run("pull", func(t *testing.T) {
w := createRequest(t, s.PullModelHandler, api.PullRequest{
w := createRequest(t, s.PullHandler, api.PullRequest{
Name: strings.ToUpper(tt),
Stream: &stream,
})
@ -365,7 +365,7 @@ func TestCase(t *testing.T) {
})
t.Run("copy", func(t *testing.T) {
w := createRequest(t, s.CopyModelHandler, api.CopyRequest{
w := createRequest(t, s.CopyHandler, api.CopyRequest{
Source: tt,
Destination: strings.ToUpper(tt),
})
@ -387,7 +387,7 @@ func TestShow(t *testing.T) {
var s Server
createRequest(t, s.CreateModelHandler, api.CreateRequest{
createRequest(t, s.CreateHandler, api.CreateRequest{
Name: "show-model",
Modelfile: fmt.Sprintf(
"FROM %s\nFROM %s",
@ -396,7 +396,7 @@ func TestShow(t *testing.T) {
),
})
w := createRequest(t, s.ShowModelHandler, api.ShowRequest{
w := createRequest(t, s.ShowHandler, api.ShowRequest{
Name: "show-model",
})

View file

@ -91,6 +91,10 @@
"template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
"name": "llama3-instruct"
},
{
"template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- set date_string = \"26 Jul 2024\" %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if builtin_tools is defined or tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{%- if builtin_tools is defined %}\n {{- \"Tools: \" + builtin_tools | reject('equalto', 'code_interpreter') | join(\", \") + \"\\n\\n\"}}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- \"<|python_tag|>\" + tool_call.name + \".call(\" }}\n {%- for arg_name, arg_val in tool_call.arguments | items %}\n {{- arg_name + '=\"' + arg_val + '\"' }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \")\" }}\n {%- else %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {%- endif %}\n {%- if builtin_tools is defined %}\n {#- This means we're in ipython mode #}\n {{- \"<|eom_id|>\" }}\n {%- else %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
"name": "llama3-instruct"
},
{
"template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ 'Question:\n' + message['content'] + '\n\n' }}{% elif message['role'] == 'system' %}\n{{ 'System:\n' + message['content'] + '\n\n' }}{% elif message['role'] == 'assistant' %}{{ 'Answer:\n' + message['content'] + '\n\n' }}{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ 'Answer:\n' }}{% endif %}{% endfor %}",
"name": "granite-instruct"