# Prompt Formatting LiteLLM automatically translates the OpenAI ChatCompletions prompt format, to other models. You can control this by setting a custom prompt template for a model as well. ## Huggingface Models LiteLLM supports [Huggingface Chat Templates](https://huggingface.co/docs/transformers/main/chat_templating), and will automatically check if your huggingface model has a registered chat template (e.g. [Mistral-7b](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1/blob/main/tokenizer_config.json#L32)). For popular models (e.g. meta-llama/llama2), we have their templates saved as part of the package. **Stored Templates** | Model Name | Works for Models | Completion Call | -------- | -------- | -------- | | mistralai/Mistral-7B-Instruct-v0.1 | mistralai/Mistral-7B-Instruct-v0.1| `completion(model='huggingface/mistralai/Mistral-7B-Instruct-v0.1', messages=messages, api_base="your_api_endpoint")` | | meta-llama/Llama-2-7b-chat | All meta-llama llama2 chat models| `completion(model='huggingface/meta-llama/Llama-2-7b', messages=messages, api_base="your_api_endpoint")` | | tiiuae/falcon-7b-instruct | All falcon instruct models | `completion(model='huggingface/tiiuae/falcon-7b-instruct', messages=messages, api_base="your_api_endpoint")` | | mosaicml/mpt-7b-chat | All mpt chat models | `completion(model='huggingface/mosaicml/mpt-7b-chat', messages=messages, api_base="your_api_endpoint")` | | codellama/CodeLlama-34b-Instruct-hf | All codellama instruct models | `completion(model='huggingface/codellama/CodeLlama-34b-Instruct-hf', messages=messages, api_base="your_api_endpoint")` | | WizardLM/WizardCoder-Python-34B-V1.0 | All wizardcoder models | `completion(model='huggingface/WizardLM/WizardCoder-Python-34B-V1.0', messages=messages, api_base="your_api_endpoint")` | | Phind/Phind-CodeLlama-34B-v2 | All phind-codellama models | `completion(model='huggingface/Phind/Phind-CodeLlama-34B-v2', messages=messages, api_base="your_api_endpoint")` | [**Jump to code**](https://github.com/BerriAI/litellm/blob/main/litellm/llms/prompt_templates/factory.py) ## Format Prompt Yourself You can also format the prompt yourself. Here's how: ```python import litellm # Create your own custom prompt template litellm.register_prompt_template( model="togethercomputer/LLaMA-2-7B-32K", initial_prompt_value="You are a good assistant" # [OPTIONAL] roles={ "system": { "pre_message": "[INST] <>\n", # [OPTIONAL] "post_message": "\n<>\n [/INST]\n" # [OPTIONAL] }, "user": { "pre_message": "[INST] ", # [OPTIONAL] "post_message": " [/INST]" # [OPTIONAL] }, "assistant": { "pre_message": "\n" # [OPTIONAL] "post_message": "\n" # [OPTIONAL] } } final_prompt_value="Now answer as best you can:" # [OPTIONAL] ) def test_huggingface_custom_model(): model = "huggingface/togethercomputer/LLaMA-2-7B-32K" response = completion(model=model, messages=messages, api_base="https://my-huggingface-endpoint") print(response['choices'][0]['message']['content']) return response test_huggingface_custom_model() ``` This is currently supported for Huggingface, TogetherAI, Ollama, and Petals. Other providers either have fixed prompt templates (e.g. Anthropic), or format it themselves (e.g. Replicate). If there's a provider we're missing coverage for, let us know! ## All Providers Here's the code for how we format all providers. Let us know how we can improve this further | Provider | Model Name | Code | | -------- | -------- | -------- | | Anthropic | `claude-instant-1`, `claude-instant-1.2`, `claude-2` | [Code](https://github.com/BerriAI/litellm/blob/721564c63999a43f96ee9167d0530759d51f8d45/litellm/llms/anthropic.py#L84) | OpenAI Text Completion | `text-davinci-003`, `text-curie-001`, `text-babbage-001`, `text-ada-001`, `babbage-002`, `davinci-002`, | [Code](https://github.com/BerriAI/litellm/blob/721564c63999a43f96ee9167d0530759d51f8d45/litellm/main.py#L442) | Replicate | all model names starting with `replicate/` | [Code](https://github.com/BerriAI/litellm/blob/721564c63999a43f96ee9167d0530759d51f8d45/litellm/llms/replicate.py#L180) | Cohere | `command-nightly`, `command`, `command-light`, `command-medium-beta`, `command-xlarge-beta` | [Code](https://github.com/BerriAI/litellm/blob/721564c63999a43f96ee9167d0530759d51f8d45/litellm/llms/cohere.py#L115) | Huggingface | all model names starting with `huggingface/` | [Code](https://github.com/BerriAI/litellm/blob/721564c63999a43f96ee9167d0530759d51f8d45/litellm/llms/huggingface_restapi.py#L186) | OpenRouter | all model names starting with `openrouter/` | [Code](https://github.com/BerriAI/litellm/blob/721564c63999a43f96ee9167d0530759d51f8d45/litellm/main.py#L611) | AI21 | `j2-mid`, `j2-light`, `j2-ultra` | [Code](https://github.com/BerriAI/litellm/blob/721564c63999a43f96ee9167d0530759d51f8d45/litellm/llms/ai21.py#L107) | VertexAI | `text-bison`, `text-bison@001`, `chat-bison`, `chat-bison@001`, `chat-bison-32k`, `code-bison`, `code-bison@001`, `code-gecko@001`, `code-gecko@latest`, `codechat-bison`, `codechat-bison@001`, `codechat-bison-32k` | [Code](https://github.com/BerriAI/litellm/blob/721564c63999a43f96ee9167d0530759d51f8d45/litellm/llms/vertex_ai.py#L89) | Bedrock | all model names starting with `bedrock/` | [Code](https://github.com/BerriAI/litellm/blob/721564c63999a43f96ee9167d0530759d51f8d45/litellm/llms/bedrock.py#L183) | Sagemaker | `sagemaker/jumpstart-dft-meta-textgeneration-llama-2-7b` | [Code](https://github.com/BerriAI/litellm/blob/721564c63999a43f96ee9167d0530759d51f8d45/litellm/llms/sagemaker.py#L89) | TogetherAI | all model names starting with `together_ai/` | [Code](https://github.com/BerriAI/litellm/blob/721564c63999a43f96ee9167d0530759d51f8d45/litellm/llms/together_ai.py#L101) | AlephAlpha | all model names starting with `aleph_alpha/` | [Code](https://github.com/BerriAI/litellm/blob/721564c63999a43f96ee9167d0530759d51f8d45/litellm/llms/aleph_alpha.py#L184) | Palm | all model names starting with `palm/` | [Code](https://github.com/BerriAI/litellm/blob/721564c63999a43f96ee9167d0530759d51f8d45/litellm/llms/palm.py#L95) | NLP Cloud | all model names starting with `palm/` | [Code](https://github.com/BerriAI/litellm/blob/721564c63999a43f96ee9167d0530759d51f8d45/litellm/llms/nlp_cloud.py#L120) | Petals | all model names starting with `petals/` | [Code](https://github.com/BerriAI/litellm/blob/721564c63999a43f96ee9167d0530759d51f8d45/litellm/llms/petals.py#L87)