mistralai/Mistral-7B-Instruct-v0.2 · Hugging Face
huggingface.co · 536 words · saved by 1 readers
The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an improved instruct fine-tuned version of Mistral-7B-Instruct-v0.1.
Model Card for Mistral-7B-Instruct-v0.2 Encode and Decode with mistral_common from mistral_common.tokens.tokenizers.mistral import MistralTokenizer from mistral_common.protocol.instruct.messages import UserMessage from mistral_common.protocol.instruct.request import ChatCompletionRequest mistral_models_path = "MISTRAL_MODELS_PATH" tokenizer = MistralTokenizer.v1() completion_request = ChatCompletionRequest(messages=[UserMessage(content="Explain Machine Learning to me in a nutshell.")]) tokens = tokenizer.encode_chat_completion(completion_request).tokens Inference with…
related reading
- Mistral 7Bmistral.ai
- Hugging Face – The AI community building the future.huggingface.co
- Papers Explained 64: Mistralmedium.com
- mistralai/Mistral-Large-Instruct-2411 · Hugging Facehuggingface.co
- Together AI | The AI Native Cloudtogether.ai
- Mistral Mastery: Fine-Tuning & Fast Inference Guidemedium.com
- Mediumadithyask.medium.com
- Llama 2 · Hugging Facehuggingface.co
- Transformer Explainer: LLM Transformer Model Visually Explainedpoloclub.github.io
- TheBloke/Mistral-7B-Instruct-v0.1-AWQ · Hugging Facehuggingface.co
- GitHub - brexhq/prompt-engineering: Tips and tricks for working with Large Language Models like OpenAI's GPT-4.github.com
- Parsed | Custom, interpretable AI systems that continuously learnparsed.com