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Update Mistral LLMs notebook #402

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Oct 18, 2024
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Update Mistral LLMs notebook #402

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7 changes: 5 additions & 2 deletions notebooks/llms.livemd
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Expand Up @@ -90,8 +90,11 @@ Nx.Serving.batched_run(Llama, prompt) |> Enum.each(&IO.write/1)

We can easily test other LLMs, we just need to change the repository and possibly adjust the prompt template. In this example we run the [Mistral](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) model.

Just like Llama, Mistral now also requires users to request access to their models, so make sure you are granted access to the model, then generate a [HuggingFace auth token](https://huggingface.co/settings/tokens) and put it in a `HF_TOKEN` Livebook secret.

```elixir
repo = {:hf, "mistralai/Mistral-7B-Instruct-v0.2"}
hf_token = System.fetch_env!('LB_HF_TOKEN')
repo = {:hf, "mistralai/Mistral-7B-Instruct-v0.2", auth_token: hf_token}

{:ok, model_info} = Bumblebee.load_model(repo, type: :bf16, backend: EXLA.Backend)
{:ok, tokenizer} = Bumblebee.load_tokenizer(repo)
Expand All @@ -109,7 +112,7 @@ generation_config =

serving =
Bumblebee.Text.generation(model_info, tokenizer, generation_config,
compile: [batch_size: 1, sequence_length: 1028],
compile: [batch_size: 1, sequence_length: 512],
stream: true,
defn_options: [compiler: EXLA]
)
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