add a complete /generate options example (#1035)

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Bruce MacDonald 2023-11-08 16:44:36 -08:00 committed by GitHub
parent 6e9bcdb9b3
commit a49d6acc1e
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2 changed files with 111 additions and 43 deletions

View file

@ -42,6 +42,50 @@ type GenerateRequest struct {
Options map[string]interface{} `json:"options"`
}
// Options specfied in GenerateRequest, if you add a new option here add it to the API docs also
type Options struct {
Runner
// Predict options used at runtime
NumKeep int `json:"num_keep,omitempty"`
Seed int `json:"seed,omitempty"`
NumPredict int `json:"num_predict,omitempty"`
TopK int `json:"top_k,omitempty"`
TopP float32 `json:"top_p,omitempty"`
TFSZ float32 `json:"tfs_z,omitempty"`
TypicalP float32 `json:"typical_p,omitempty"`
RepeatLastN int `json:"repeat_last_n,omitempty"`
Temperature float32 `json:"temperature,omitempty"`
RepeatPenalty float32 `json:"repeat_penalty,omitempty"`
PresencePenalty float32 `json:"presence_penalty,omitempty"`
FrequencyPenalty float32 `json:"frequency_penalty,omitempty"`
Mirostat int `json:"mirostat,omitempty"`
MirostatTau float32 `json:"mirostat_tau,omitempty"`
MirostatEta float32 `json:"mirostat_eta,omitempty"`
PenalizeNewline bool `json:"penalize_newline,omitempty"`
Stop []string `json:"stop,omitempty"`
}
// Runner options which must be set when the model is loaded into memory
type Runner struct {
UseNUMA bool `json:"numa,omitempty"`
NumCtx int `json:"num_ctx,omitempty"`
NumBatch int `json:"num_batch,omitempty"`
NumGQA int `json:"num_gqa,omitempty"`
NumGPU int `json:"num_gpu,omitempty"`
MainGPU int `json:"main_gpu,omitempty"`
LowVRAM bool `json:"low_vram,omitempty"`
F16KV bool `json:"f16_kv,omitempty"`
LogitsAll bool `json:"logits_all,omitempty"`
VocabOnly bool `json:"vocab_only,omitempty"`
UseMMap bool `json:"use_mmap,omitempty"`
UseMLock bool `json:"use_mlock,omitempty"`
EmbeddingOnly bool `json:"embedding_only,omitempty"`
RopeFrequencyBase float32 `json:"rope_frequency_base,omitempty"`
RopeFrequencyScale float32 `json:"rope_frequency_scale,omitempty"`
NumThread int `json:"num_thread,omitempty"`
}
type EmbeddingRequest struct {
Model string `json:"model"`
Prompt string `json:"prompt"`
@ -162,49 +206,6 @@ func (r *GenerateResponse) Summary() {
}
}
// Runner options which must be set when the model is loaded into memory
type Runner struct {
UseNUMA bool `json:"numa,omitempty"`
NumCtx int `json:"num_ctx,omitempty"`
NumBatch int `json:"num_batch,omitempty"`
NumGQA int `json:"num_gqa,omitempty"`
NumGPU int `json:"num_gpu,omitempty"`
MainGPU int `json:"main_gpu,omitempty"`
LowVRAM bool `json:"low_vram,omitempty"`
F16KV bool `json:"f16_kv,omitempty"`
LogitsAll bool `json:"logits_all,omitempty"`
VocabOnly bool `json:"vocab_only,omitempty"`
UseMMap bool `json:"use_mmap,omitempty"`
UseMLock bool `json:"use_mlock,omitempty"`
EmbeddingOnly bool `json:"embedding_only,omitempty"`
RopeFrequencyBase float32 `json:"rope_frequency_base,omitempty"`
RopeFrequencyScale float32 `json:"rope_frequency_scale,omitempty"`
NumThread int `json:"num_thread,omitempty"`
}
type Options struct {
Runner
// Predict options used at runtime
NumKeep int `json:"num_keep,omitempty"`
Seed int `json:"seed,omitempty"`
NumPredict int `json:"num_predict,omitempty"`
TopK int `json:"top_k,omitempty"`
TopP float32 `json:"top_p,omitempty"`
TFSZ float32 `json:"tfs_z,omitempty"`
TypicalP float32 `json:"typical_p,omitempty"`
RepeatLastN int `json:"repeat_last_n,omitempty"`
Temperature float32 `json:"temperature,omitempty"`
RepeatPenalty float32 `json:"repeat_penalty,omitempty"`
PresencePenalty float32 `json:"presence_penalty,omitempty"`
FrequencyPenalty float32 `json:"frequency_penalty,omitempty"`
Mirostat int `json:"mirostat,omitempty"`
MirostatTau float32 `json:"mirostat_tau,omitempty"`
MirostatEta float32 `json:"mirostat_eta,omitempty"`
PenalizeNewline bool `json:"penalize_newline,omitempty"`
Stop []string `json:"stop,omitempty"`
}
var ErrInvalidOpts = fmt.Errorf("invalid options")
func (opts *Options) FromMap(m map[string]interface{}) error {

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@ -167,6 +167,73 @@ curl -X POST http://localhost:11434/api/generate -d '{
}
```
#### Request
If you want to set custom options for the model at runtime rather than in the Modelfile, you can do so with the `options` parameter. This example sets every available option, but you can set any of them individually and omit the ones you do not want to override.
```shell
curl -X POST http://localhost:11434/api/generate -d '{
"model": "llama2:7b",
"prompt": "Why is the sky blue?",
"stream": false,
"options": {
"num_keep": 5,
"seed": 42,
"num_predict": 100,
"top_k": 20,
"top_p": 0.9,
"tfs_z": 0.5,
"typical_p": 0.7,
"repeat_last_n": 33,
"temperature": 0.8,
"repeat_penalty": 1.2,
"presence_penalty": 1.5,
"frequency_penalty": 1.0,
"mirostat": 1,
"mirostat_tau": 0.8,
"mirostat_eta": 0.6,
"penalize_newline": true,
"stop": ["\n", "user:"],
"numa": false,
"num_ctx": 4,
"num_batch": 2,
"num_gqa": 1,
"num_gpu": 1,
"main_gpu": 0,
"low_vram": false,
"f16_kv": true,
"logits_all": false,
"vocab_only": false,
"use_mmap": true,
"use_mlock": false,
"embedding_only": false,
"rope_frequency_base": 1.1,
"rope_frequency_scale": 0.8,
"num_thread": 8
}
}'
```
#### Response
```json
{
"model": "llama2:7b",
"created_at": "2023-08-04T19:22:45.499127Z",
"response": "The sky is blue because it is the color of the sky.",
"context": [1, 2, 3],
"done": true,
"total_duration": 5589157167,
"load_duration": 3013701500,
"sample_count": 114,
"sample_duration": 81442000,
"prompt_eval_count": 46,
"prompt_eval_duration": 1160282000,
"eval_count": 13,
"eval_duration": 1325948000
}
```
## Create a Model
```shell