From 7fbdc8e2c1d073083b07fea53a63f8f1fd501dd6 Mon Sep 17 00:00:00 2001 From: Michael Chiang Date: Wed, 19 Jul 2023 11:38:06 -0700 Subject: [PATCH 1/5] Update modelfile.md --- docs/modelfile.md | 119 +++++++++++++++++++++++++++------------------- 1 file changed, 70 insertions(+), 49 deletions(-) diff --git a/docs/modelfile.md b/docs/modelfile.md index 8450eac6..e75cd85b 100644 --- a/docs/modelfile.md +++ b/docs/modelfile.md @@ -1,79 +1,95 @@ -# Ollama Model File Reference +# Ollama Model File -Ollama can build models automatically by reading the instructions from a Modelfile. A Modelfile is a text document that represents the complete configuration of the Model. You can see that a Modelfile is very similar to a Dockerfile. +A Model file is the blueprint to create and share models with Ollama. ## Format -Here is the format of the Modelfile: +The format of the Modelfile: ```modelfile # comment INSTRUCTION arguments ``` -Nothing in the file is case-sensitive. However, the convention is for instructions to be uppercase to make it easier to distinguish from the arguments. +| Instruction | Description | +|------------------------- |--------------------------------------------------------- | +| FROM
(required) | Defines the base model to be used when creating a model | +| PARAMETER
(optional) | Sets the parameters for how the model will be run | +| PROMPT
(optional) | Sets the prompt to use when the model will be run | +| LICENSE
(optional) | Specify the license of the model | -A Modelfile can include instructions in any order. But the convention is to start the Modelfile with the FROM instruction. +## Examples -Although the example above shows a comment starting with a hash character, any instruction that is not recognized is seen as a comment. +An example of a model file creating a mario blueprint: -## FROM - -```modelfile -FROM [:] ``` - -This defines the base model to be used. An image can be a known image on the Ollama Hub, or a fully-qualified path to a model file on your system - -## LICENSE - -```modelfile -LICENSE """ - +FROM llama2 +PARAMETER temperature 1 +PROMPT """ +System: You are Mario from super mario bros, acting as an assistant. +User: {{ .Prompt }} +Assistant: """ ``` -Some models need to be distributed with a license agreement. For example, the distribution clause for the Llama2 license requires including the license with the model. +To use this: -## PARAMETER +1. Save it as a file (eg. modelfile) +2. `ollama create NAME -f '` +3. `ollama run NAME` +4. Start using the model! + +## FROM (Required) + +The FROM instruction defines the base model to be used when creating a model. -```modelfile -PARAMETER ``` +FROM : +``` + +### Build from llama2 + +``` +FROM llama2:latest +``` + +A list of available base models: + + +### Build from a bin file + +``` +FROM ./ollama-model.bin +``` + +## PARAMETER (Optional) The PARAMETER instruction defines a parameter that can be set when the model is run. +``` +PARAMETER +``` + ### Valid Parameters and Values -| Parameter | Description | Value Type | Value Range | -| ---------------- | ------------------------------------------------------------------------------------------- | ---------- | ----------- | -| NumCtx | | int | | -| NumGPU | | int | | -| MainGPU | | int | | -| LowVRAM | | bool | | -| F16KV | | bool | | -| LogitsAll | | bool | | -| VocabOnly | | bool | | -| UseMMap | | bool | | -| EmbeddingOnly | | bool | | -| RepeatLastN | | int | | -| RepeatPenalty | | float | | -| FrequencyPenalty | | float | | -| PresencePenalty | | float | | -| temperature | The temperature of the model. Higher temperatures result in more creativity in the response | float | 0 - 1 | -| TopK | | int | | -| TopP | | float | | -| TFSZ | | float | | -| TypicalP | | float | | -| Mirostat | | int | | -| MirostatTau | | float | | -| MirostatEta | | float | | -| NumThread | | int | | - +| Parameter | Description | Value Type | Example Usage | +|---------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------|-------------------| +| NumCtx | Sets the size of the prompt context size length model. (Default: 2048) | int | Numctx 4096 | +| temperature | The temperature of the model. Higher temperatures result in more creativity in the response (Default: 0.8) | float | Temperature 0.7 | +| TopK | Top-k sampling is a text generation method that selects the next token only from the top k most likely tokens predicted by the model. It helps reduce the risk of generating low-probability or nonsensical tokens, but it may also limit the diversity of the output. A higher value for top-k (e.g., 100) will consider more tokens and lead to more diverse text, while a lower value (e.g., 10) will focus on the most probable tokens and generate more conservative text. (Default: 40) | int | TopK 40 | +| TopP | Top-p sampling (nucleus sampling), is a text generation method that selects the next token from a subset of tokens that together have a cumulative probability of at least p. This method provides a balance between diversity and quality by considering both the probabilities of tokens and the number of tokens to sample from. A higher value for top-p (e.g., 0.95) will lead to more diverse text, while a lower value (e.g., 0.5) will generate more focused and conservative text. (Default: 0.9) | float | TopP 0.9 | +| NumGPU | The number of GPUs to use. On macOS it defaults to 1 to enable metal support, 0 to disable. | int | numGPU 1 | +| RepeatLastN | Sets the number of tokens in the history to consider for penalizing repetition. A larger value will look further back in the generated text to prevent repetitions, while a smaller value will only consider recent tokens. A value of 0 disables the penalty, and a value of -1 sets the number of tokens considered equal to the context size. (Default: 64, 0 = disabled, -1 = ctx-size) | int | RepeatLastN 64 | +| RepeatPenalty | Helps prevent the model from generating repetitive or monotonous text. A higher value (e.g., 1.5) will penalize repetitions more strongly, while a lower value (e.g., 0.9) will be more lenient. (Default: 1.1) | float | RepeatPenalty 1.1 | +| TFSZ | Tail free sampling. It is a text generation technique that aims to reduce the impact of less likely tokens, which may be less relevant, less coherent, or nonsensical, on the output. The method adjusts the logits (token probabilities) by raising them to the power of the parameter z (set value). A higher value of z (e.g., 2.0) will further suppress less likely tokens from the tail of the distribution, while a value of 1.0 disables the effect of TFS. By setting the parameter z, you can control how much the probabilities of less likely tokens are reduced. (default: 1) | float | TFSZ 1 | +| Mirostat | Enable Mirostat sampling, controlling perplexity during text generation. Mirostat is an algorithm that actively maintains the quality of generated text within a desired range during text generation. It aims to strike a balance between coherence and diversity, avoiding low-quality output caused by excessive repetition (boredom traps) or incoherence (confusion traps). (default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0) | int | Mirostat 0 | +| MirostatTau | Sets the Mirostat target entropy, which represents the desired perplexity value for the generated text. Adjusting the target entropy allows you to control the balance between coherence and diversity in the generated text. A lower value will result in more focused and coherent text, while a higher value will lead to more diverse and potentially less coherent text. (Default: 5.0) | float | MirostatTau 5.0 | +| MirostatEta | Sets the Microstat learning rate, which influences how quickly the algorithm responds to feedback from the generated text. A lower learning rate will result in slower adjustments, while a higher learning rate will make the algorithm more responsive. (Default: 0.1) | float | MirostatEta 0.1 | +| NumThread | Sets the number of threads to use during computation. By default, Ollama will detect this for optimal performance. It is recommended to set this value to the number of physical CPU cores your system has (as opposed to the logical number of cores). | int | NumThread 8 | ## PROMPT -Prompt is a multiline instruction that defines the prompt to be used when the model is run. Typically there are 3-4 components to a prompt: System, context, user, and response. +Prompt is a set of instructions to an LLM to cause the model to return desired response(s). Typically there are 3-4 components to a prompt: System, context, user, and response. ```modelfile PROMPT """ @@ -87,4 +103,9 @@ You are a content marketer who needs to come up with a short but succinct tweet. ### Response: """ -``` \ No newline at end of file +``` + +## Notes + +- the **modelfile is not case sensitive**. In the examples, we use uppercase for instructions to make it easier to distinguish it from arguments. +- Instructions can be in any order. In the examples, we start with FROM instruction to keep it easily readable. From 25f874c03048d3834b26f229168f52ac3834a084 Mon Sep 17 00:00:00 2001 From: Michael Chiang Date: Wed, 19 Jul 2023 12:48:57 -0700 Subject: [PATCH 2/5] Update modelfile.md --- docs/modelfile.md | 32 ++++++++++++++++---------------- 1 file changed, 16 insertions(+), 16 deletions(-) diff --git a/docs/modelfile.md b/docs/modelfile.md index e75cd85b..ab1d6f62 100644 --- a/docs/modelfile.md +++ b/docs/modelfile.md @@ -1,6 +1,6 @@ # Ollama Model File -A Model file is the blueprint to create and share models with Ollama. +A model file is the blueprint to create and share models with Ollama. ## Format @@ -16,7 +16,7 @@ INSTRUCTION arguments | FROM
(required) | Defines the base model to be used when creating a model | | PARAMETER
(optional) | Sets the parameters for how the model will be run | | PROMPT
(optional) | Sets the prompt to use when the model will be run | -| LICENSE
(optional) | Specify the license of the model | +| LICENSE
(optional) | Specify the license of the model. It is additive, and | ## Examples @@ -72,20 +72,20 @@ PARAMETER ### Valid Parameters and Values -| Parameter | Description | Value Type | Example Usage | -|---------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------|-------------------| -| NumCtx | Sets the size of the prompt context size length model. (Default: 2048) | int | Numctx 4096 | -| temperature | The temperature of the model. Higher temperatures result in more creativity in the response (Default: 0.8) | float | Temperature 0.7 | -| TopK | Top-k sampling is a text generation method that selects the next token only from the top k most likely tokens predicted by the model. It helps reduce the risk of generating low-probability or nonsensical tokens, but it may also limit the diversity of the output. A higher value for top-k (e.g., 100) will consider more tokens and lead to more diverse text, while a lower value (e.g., 10) will focus on the most probable tokens and generate more conservative text. (Default: 40) | int | TopK 40 | -| TopP | Top-p sampling (nucleus sampling), is a text generation method that selects the next token from a subset of tokens that together have a cumulative probability of at least p. This method provides a balance between diversity and quality by considering both the probabilities of tokens and the number of tokens to sample from. A higher value for top-p (e.g., 0.95) will lead to more diverse text, while a lower value (e.g., 0.5) will generate more focused and conservative text. (Default: 0.9) | float | TopP 0.9 | -| NumGPU | The number of GPUs to use. On macOS it defaults to 1 to enable metal support, 0 to disable. | int | numGPU 1 | -| RepeatLastN | Sets the number of tokens in the history to consider for penalizing repetition. A larger value will look further back in the generated text to prevent repetitions, while a smaller value will only consider recent tokens. A value of 0 disables the penalty, and a value of -1 sets the number of tokens considered equal to the context size. (Default: 64, 0 = disabled, -1 = ctx-size) | int | RepeatLastN 64 | -| RepeatPenalty | Helps prevent the model from generating repetitive or monotonous text. A higher value (e.g., 1.5) will penalize repetitions more strongly, while a lower value (e.g., 0.9) will be more lenient. (Default: 1.1) | float | RepeatPenalty 1.1 | -| TFSZ | Tail free sampling. It is a text generation technique that aims to reduce the impact of less likely tokens, which may be less relevant, less coherent, or nonsensical, on the output. The method adjusts the logits (token probabilities) by raising them to the power of the parameter z (set value). A higher value of z (e.g., 2.0) will further suppress less likely tokens from the tail of the distribution, while a value of 1.0 disables the effect of TFS. By setting the parameter z, you can control how much the probabilities of less likely tokens are reduced. (default: 1) | float | TFSZ 1 | -| Mirostat | Enable Mirostat sampling, controlling perplexity during text generation. Mirostat is an algorithm that actively maintains the quality of generated text within a desired range during text generation. It aims to strike a balance between coherence and diversity, avoiding low-quality output caused by excessive repetition (boredom traps) or incoherence (confusion traps). (default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0) | int | Mirostat 0 | -| MirostatTau | Sets the Mirostat target entropy, which represents the desired perplexity value for the generated text. Adjusting the target entropy allows you to control the balance between coherence and diversity in the generated text. A lower value will result in more focused and coherent text, while a higher value will lead to more diverse and potentially less coherent text. (Default: 5.0) | float | MirostatTau 5.0 | -| MirostatEta | Sets the Microstat learning rate, which influences how quickly the algorithm responds to feedback from the generated text. A lower learning rate will result in slower adjustments, while a higher learning rate will make the algorithm more responsive. (Default: 0.1) | float | MirostatEta 0.1 | -| NumThread | Sets the number of threads to use during computation. By default, Ollama will detect this for optimal performance. It is recommended to set this value to the number of physical CPU cores your system has (as opposed to the logical number of cores). | int | NumThread 8 | +| Parameter | Description | Value Type | Example Usage | +|---------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------|-------------------| +| NumCtx | Sets the size of the prompt context size length model. (Default: 2048) | int | Numctx 4096 | +| temperature | The temperature of the model. Increasing the temperature will make the model answer more creatively. (Default: 0.8) | float | Temperature 0.7 | +| TopK | Reduces the probability of generating nonsense. A higher value (e.g. 100) will give more diverse answers, while a lower value (e.g. 10) will be more conservative. (Default: 40) | int | TopK 40 | +| TopP | Works together with top-k. A higher value (e.g., 0.95) will lead to more diverse text, while a lower value (e.g., 0.5) will generate more focused and conservative text. (Default: 0.9) | float | TopP 0.9 | +| NumGPU | The number of GPUs to use. On macOS it defaults to 1 to enable metal support, 0 to disable. | int | numGPU 1 | +| RepeatLastN | Sets how far back for the model to look back to prevent repetition. (Default: 64, 0 = disabled, -1 = ctx-size) | int | RepeatLastN 64 | +| RepeatPenalty | Sets how strongly to penalize repetitions. A higher value (e.g., 1.5) will penalize repetitions more strongly, while a lower value (e.g., 0.9) will be more lenient. (Default: 1.1) | float | RepeatPenalty 1.1 | +| TFSZ | Tail free sampling is used to reduce the impact of less probable tokens from the output. A higher value (e.g., 2.0) will reduce the impact more, while a value of 1.0 disables this setting. (default: 1) | float | TFSZ 1 | +| Mirostat | Enable Mirostat sampling for controlling perplexity. (default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0) | int | Mirostat 0 | +| MirostatTau | Controls the balance between coherence and diversity of the output. A lower value will result in more focused and coherent text. (Default: 5.0) | float | MirostatTau 5.0 | +| MirostatEta | Influences how quickly the algorithm responds to feedback from the generated text. A lower learning rate will result in slower adjustments, while a higher learning rate will make the algorithm more responsive. (Default: 0.1) | float | MirostatEta 0.1 | +| NumThread | Sets the number of threads to use during computation. By default, Ollama will detect this for optimal performance. It is recommended to set this value to the number of physical CPU cores your system has (as opposed to the logical number of cores). | int | NumThread 8 | ## PROMPT From 31413857ea967f20ac7c89de2add3fa1f4a98589 Mon Sep 17 00:00:00 2001 From: Michael Chiang Date: Wed, 19 Jul 2023 13:25:14 -0700 Subject: [PATCH 3/5] organizing examples --- examples/{mario => mario/Modelfile} | 0 examples/mario/logo.png | Bin 0 -> 1936926 bytes examples/mario/readme.md | 45 ++++++++++++++++++ .../Modelfile} | 0 .../{recipemaker => recipemaker/Modelfile} | 0 .../{tweetwriter => tweetwriter/Modelfile} | 0 6 files changed, 45 insertions(+) rename examples/{mario => mario/Modelfile} (100%) create mode 100644 examples/mario/logo.png create mode 100644 examples/mario/readme.md rename examples/{midjourneyprompter => midjourney-prompter/Modelfile} (100%) rename examples/{recipemaker => recipemaker/Modelfile} (100%) rename examples/{tweetwriter => tweetwriter/Modelfile} (100%) diff --git a/examples/mario 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zgOC_O6r{RJjH$>f9hl`MN*o-1?c3kN=kEP8zNL0rN4wQRy*YzYF^3~3j^kr@eipm7 zKj#1d@jc{Ji&(Z|8BU!V$MobZYRi{mXw3zfZFDd@F^!;H&YW% z9mCE?e}hhIT5N^|g4`@wzVw6u3bZ4%X_cPArt!VsW=8UzLq zns#&y_`xGRc;P@3gT3I$$U`d$5<1vW4DjLM5zOl$ z$~mz-EO|%~N5lpY-{pkR^tnZhF9X6d06>yAKHvN-0sxR*?a75`#1Xzd8DUQ`M2-X| zd0I>NKXL@mmdwBDN8JZ!1pqXuk$o;S)HL5C0au{}49&-?HS5@4p4k5aI1zET!-4Y+QUADJm4UE>Si6Ht&heBZk6%+?!wqKX+o&x~r{tWU&CC;Hd6651v+JZG}2XJ~~ zlKpC)`hoR%Xn&Fx0N*peYfC6)@pLGrORy~1HNPftlj>h6TZT=dHzme=r(Z;}pW*9i zl3@e_rp%LlFG~AiyWNl&k&^dZ2jxA53h*mi zvE-Zp^*W7*jalT7CvCA1nTi<4$#5UB@1zKY#QJH%3h3*O|!TpgMRjp24KR2kfXHWog?_rCpNPmYVlqWo{b3W zQa&Io8eu9)m?W%s-RdBkc0Pt z7J+<*hHgX$f>?pcVhn~VHE6N|i~U_v6I=2)Ve3PDm6!VU00>z{xT(Tyw}%`v8eo))HKN*-ETjvlKl+ilKpF zX5;LBZ9m3dJAu)qgIKb3h+92!K?%h&fdJA*L=#(xA4r3cXz~z&$IZzOc0VzWm!BWk zoXSCG?CF-T?!i^puf#yDA4wEo*S3S$w|9)$R@8de69DV4sNm{%t;5KoVb*5hG9)bs z=bt3dDx!Zp)|SP%g*i#Sn_4fq7RPpv8#lOZA&RI?MW(>fJBgY_B#l8l{Ik8-v*Q2) zidl4O8>hP5_LZX83%uv{3$Wp;m0asiKdF}T{{V5^ + +# Example character: Mario + +This example shows how to create a basic character using Llama2 as the base model. + +To run this example: + +1. Download the Modelfile +2. `ollama pull llama2` to get the base model used in the model file. +3. `ollama create NAME -f ./Modelfile` +4. `ollama run NAME` + +Ask it some questions like "Who are you?" or "Is Peach in trouble again?" + +## Editing this file + +What the model file looks like: + +``` +FROM llama2 +PARAMETER temperature 1 +PROMPT """ +System: You are Mario from super mario bros, acting as an assistant. +User: {{ .Prompt }} +Assistant: +""" +``` + +What if you want to change its behaviour? + +- Try changing the prompt +- Try changing the parameters [Docs](https://github.com/jmorganca/ollama/blob/main/docs/modelfile.md) +- Try changing the model (e.g. An uncensored model by `FROM wizard-vicuna` this is the wizard-vicuna uncensored model ) + +Once the changes are made, + +1. `ollama create NAME -f ./Modelfile` +2. `ollama run NAME` +3. Iterate until you are happy with the results. + +Notes: + +- This example is for research purposes only +- When using an uncensored model, please be aware that it may generate offensive content. diff --git a/examples/midjourneyprompter b/examples/midjourney-prompter/Modelfile similarity index 100% rename from examples/midjourneyprompter rename to examples/midjourney-prompter/Modelfile diff --git a/examples/recipemaker b/examples/recipemaker/Modelfile similarity index 100% rename from examples/recipemaker rename to examples/recipemaker/Modelfile diff --git a/examples/tweetwriter b/examples/tweetwriter/Modelfile similarity index 100% rename from examples/tweetwriter rename to examples/tweetwriter/Modelfile From e54c08da895e007d07968199ac6f5e2478033e74 Mon Sep 17 00:00:00 2001 From: Michael Chiang Date: Wed, 19 Jul 2023 13:34:40 -0700 Subject: [PATCH 4/5] updating prompt --- examples/mario/Modelfile | 12 ++++++++---- examples/mario/logo.png | Bin 1936926 -> 456296 bytes examples/mario/readme.md | 10 +++++++--- 3 files changed, 15 insertions(+), 7 deletions(-) diff --git a/examples/mario/Modelfile b/examples/mario/Modelfile index 9bb271bc..02759e87 100644 --- a/examples/mario/Modelfile +++ b/examples/mario/Modelfile @@ -1,7 +1,11 @@ FROM llama2 PARAMETER temperature 1 PROMPT """ -System: You are Mario from super mario bros, acting as an assistant. -User: {{ .Prompt }} -Assistant: -""" +{{- if not .Context }} +<> +You are Mario from super mario bros, acting as an assistant. +<> + +{{- end }} +[INST] {{ .Prompt }} [/INST] +""" \ No newline at end of file diff --git a/examples/mario/logo.png b/examples/mario/logo.png index 935dde9e9c477f79aa01320826b304ee439f0142..1ef2564623051121def212c7f366e55ebff0ca72 100644 GIT binary patch literal 456296 zcmV)3K+C_0P)PyA07*naRCr#ry$76SRh2!w?!7NouIe1t_ z2T)N*L5!%Vpcp_w8B~IT==`1ej|o8(QOVsjG^uk}S66sdFWvk7)(+?1SB=j1oB6&{ zpz4Kt&pl!9wbx!}pXf`!x-N@L8M0=ED2h<6l`%Uzhd4=4t5wl#G!aJ;+U*Vo2K&%$ 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assistant. +<> + +{{- end }} +[INST] {{ .Prompt }} [/INST] """ ``` From ac88ab48d9f8dcf39f349028ed6abf87b3dbf642 Mon Sep 17 00:00:00 2001 From: Michael Chiang Date: Wed, 19 Jul 2023 13:37:21 -0700 Subject: [PATCH 5/5] update --- examples/mario/readme.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/mario/readme.md b/examples/mario/readme.md index 1e1a6889..72fa8b28 100644 --- a/examples/mario/readme.md +++ b/examples/mario/readme.md @@ -45,5 +45,5 @@ Once the changes are made, Notes: -- This example is for research purposes only +- This example is for research purposes only. There is no affiliation with any entity. - When using an uncensored model, please be aware that it may generate offensive content.

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