| --- |
| license: apache-2.0 |
| pipeline_tag: text-generation |
| tags: |
| - finetuned |
| --- |
| |
| # Model Card for Mistral-7B-Instruct-v0.1 |
|
|
| The Mistral-7B-Instruct-v0.1 Large Language Model (LLM) is a instruct fine-tuned version of the [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) generative text model using a variety of publicly available conversation datasets. |
|
|
| For full details of this model please read [release blog post](https://mistral.ai/news/announcing-mistral-7b/) |
|
|
| ## Instruction format |
|
|
| In order to leverage instruction fine-tuning, your prompt should be surrounded by `[INST]` and `[\INST]` tokens. The very first instruction should begin with a begin of sentence id. The next instructions should not. The assistant generation will be ended by the end-of-sentence token id. |
|
|
| E.g. |
|
|
| ```python |
| from transformers import AutoModelForCausalLM, AutoTokenizer |
| |
| device = "cuda" # the device to load the model onto |
| |
| model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") |
| tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") |
| |
| text = "<s>[INST] What is your favourite condiment? [/INST]" |
| "Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!</s> " |
| "[INST] Do you have mayonnaise recipes? [/INST]" |
| |
| encodeds = tokenizer(text, return_tensors="pt", add_special_tokens=False) |
| |
| model_inputs = encodeds.to(device) |
| model.to(device) |
| |
| generated_ids = model.generate(**model_inputs, max_new_tokens=1000, do_sample=True) |
| decoded = tokenizer.batch_decode(generated_ids) |
| print(decoded[0]) |
| ``` |
|
|
| ## Model Architecture |
| This instruction model is based on Mistral-7B-v0.1, a transformer model with the following architecture choices: |
| - Grouped-Query Attention |
| - Sliding-Window Attention |
| - Byte-fallback BPE tokenizer |
|
|
| ## The Mistral AI Team |
|
|
| Albert Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed. |
