|
| 1 | +{ |
| 2 | + "type": "object", |
| 3 | + "properties": { |
| 4 | + "huggingface": { |
| 5 | + "type": "object", |
| 6 | + "properties": { |
| 7 | + "model": { |
| 8 | + "type": "string", |
| 9 | + "title": "Model", |
| 10 | + "description": "The [HuggingFace model](https://huggingface.co/models) to deploy (see [here](https://github.com/stackhpc/azimuth-llm?tab=readme-ov-file#tested-models) for a list of tested models).", |
| 11 | + "default": "microsoft/Phi-3.5-mini-instruct" |
| 12 | + }, |
| 13 | + "token": { |
| 14 | + "type": [ |
| 15 | + "string", |
| 16 | + "null" |
| 17 | + ], |
| 18 | + "title": "Access Token", |
| 19 | + "description": "A HuggingFace [access token](https://huggingface.co/docs/hub/security-tokens). Required for [gated models](https://huggingface.co/docs/hub/en/models-gated) (e.g. Llama 3)." |
| 20 | + } |
| 21 | + }, |
| 22 | + "required": [ |
| 23 | + "model" |
| 24 | + ] |
| 25 | + }, |
| 26 | + "api": { |
| 27 | + "type": "object", |
| 28 | + "properties": { |
| 29 | + "modelMaxContextLength": { |
| 30 | + "title": "Model Context Length", |
| 31 | + "description": "An override for the maximum context length to allow, if the model's default is not suitable." |
| 32 | + }, |
| 33 | + "image": { |
| 34 | + "type": "object", |
| 35 | + "properties": { |
| 36 | + "version": { |
| 37 | + "type": "string", |
| 38 | + "title": "Backend vLLM version", |
| 39 | + "description": "The vLLM version to use as a backend. Must be a version tag from [this list](https://github.com/vllm-project/vllm/tags)", |
| 40 | + "default": "v0.6.3" |
| 41 | + } |
| 42 | + } |
| 43 | + } |
| 44 | + } |
| 45 | + }, |
| 46 | + "ui": { |
| 47 | + "type": "object", |
| 48 | + "properties": { |
| 49 | + "appSettings": { |
| 50 | + "type": "object", |
| 51 | + "properties": { |
| 52 | + "model_name": { |
| 53 | + "type": "string", |
| 54 | + "title": "Model Name", |
| 55 | + "description": "Model name supplied to the OpenAI client in frontend web app. Should match huggingface.model above." |
| 56 | + }, |
| 57 | + "model_instruction": { |
| 58 | + "type": "string", |
| 59 | + "title": "Instruction", |
| 60 | + "description": "The initial system prompt (i.e. the hidden instruction) to use when generating responses.", |
| 61 | + "default": "You are a helpful AI assistant. Please respond appropriately." |
| 62 | + }, |
| 63 | + "page_title": { |
| 64 | + "type": "string", |
| 65 | + "title": "Page Title", |
| 66 | + "description": "The title to display at the top of the chat interface.", |
| 67 | + "default": "Large Language Model" |
| 68 | + }, |
| 69 | + "llm_params": { |
| 70 | + "type": "object", |
| 71 | + "properties": { |
| 72 | + "max_tokens": { |
| 73 | + "type": "integer", |
| 74 | + "title": "Max Tokens", |
| 75 | + "description": "The maximum number of new [tokens](https://platform.openai.com/docs/api-reference/chat/create#chat-create-max_tokens) to generate for each LLM responses.", |
| 76 | + "default": 1000 |
| 77 | + }, |
| 78 | + "temperature": { |
| 79 | + "type": "number", |
| 80 | + "title": "LLM Temperature", |
| 81 | + "description": "The [temperature](https://platform.openai.com/docs/api-reference/chat/create#chat-create-temperature) value to use when generating LLM responses.", |
| 82 | + "default": 0, |
| 83 | + "minimum": 0, |
| 84 | + "maximum": 2 |
| 85 | + }, |
| 86 | + "top_p": { |
| 87 | + "type": "number", |
| 88 | + "title": "LLM Top P", |
| 89 | + "description": "The [top p](https://platform.openai.com/docs/api-reference/chat/create#chat-create-top_p) value to use when generating LLM responses.", |
| 90 | + "default": 1, |
| 91 | + "exclusiveMinimum": 0, |
| 92 | + "maximum": 1 |
| 93 | + }, |
| 94 | + "top_k": { |
| 95 | + "type": "integer", |
| 96 | + "title": "LLM Top K", |
| 97 | + "description": "The [top k](https://docs.vllm.ai/en/stable/dev/sampling_params.html) value to use when generating LLM responses (must be an integer).", |
| 98 | + "default": -1, |
| 99 | + "minimum": -1 |
| 100 | + }, |
| 101 | + "presence_penalty": { |
| 102 | + "type": "number", |
| 103 | + "title": "LLM Presence Penalty", |
| 104 | + "description": "The [presence penalty](https://platform.openai.com/docs/api-reference/chat/create#chat-create-presence_penalty) to use when generating LLM responses.", |
| 105 | + "default": 0, |
| 106 | + "minimum": -2, |
| 107 | + "maximum": 2 |
| 108 | + }, |
| 109 | + "frequency_penalty": { |
| 110 | + "type": "number", |
| 111 | + "title": "LLM Frequency Penalty", |
| 112 | + "description": "The [frequency_penalty](https://platform.openai.com/docs/api-reference/chat/create#chat-create-frequency_penalty) to use when generating LLM responses.", |
| 113 | + "default": 0, |
| 114 | + "minimum": -2, |
| 115 | + "maximum": 2 |
| 116 | + } |
| 117 | + } |
| 118 | + } |
| 119 | + }, |
| 120 | + "required": [ |
| 121 | + "model_name", |
| 122 | + "model_instruction" |
| 123 | + ] |
| 124 | + } |
| 125 | + } |
| 126 | + } |
| 127 | + } |
| 128 | +} |
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