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Update suggested model in chat and summary docs #333

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Apr 24, 2024
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Update suggested model in chat and summary docs #333

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10 changes: 4 additions & 6 deletions recipes/natural_language_processing/chatbot/README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -62,19 +62,17 @@ podman pod rm chatbot

## Download a model

If you are just getting started, we recommend using [Mistral-7B-Instruct](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1). This is a well
If you are just getting started, we recommend using [granite-7b-lab](https://huggingface.co/instructlab/granite-7b-lab). This is a well
performant mid-sized model with an apache-2.0 license. In order to use it with our Model Service we need it converted
and quantized into the [GGUF format](https://github.com/ggerganov/ggml/blob/master/docs/gguf.md). There are a number of
ways to get a GGUF version of Mistral-7B, but the simplest is to download a pre-converted one from
[huggingface.co](https://huggingface.co) here: https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GGUF.

There are a number of options for quantization level, but we recommend `Q4_K_M`.
ways to get a GGUF version of granite-7b-lab, but the simplest is to download a pre-converted one from
[huggingface.co](https://huggingface.co) here: https://huggingface.co/instructlab/granite-7b-lab-GGUF.

The recommended model can be downloaded using the code snippet below:

```bash
cd ../../../models
curl -sLO https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GGUF/resolve/main/mistral-7b-instruct-v0.1.Q4_K_M.gguf
curl -sLO https://huggingface.co/instructlab/granite-7b-lab-GGUF/resolve/main/granite-7b-lab-Q4_K_M.gguf
cd ../recipes/natural_language_processing/chatbot
```

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10 changes: 4 additions & 6 deletions recipes/natural_language_processing/summarizer/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -62,19 +62,17 @@ podman pod rm summarizer

## Download a model

If you are just getting started, we recommend using [Mistral-7B-Instruct](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1). This is a well
If you are just getting started, we recommend using [granite-7b-lab](https://huggingface.co/instructlab/granite-7b-lab). This is a well
performant mid-sized model with an apache-2.0 license. In order to use it with our Model Service we need it converted
and quantized into the [GGUF format](https://github.com/ggerganov/ggml/blob/master/docs/gguf.md). There are a number of
ways to get a GGUF version of Mistral-7B, but the simplest is to download a pre-converted one from
[huggingface.co](https://huggingface.co) here: https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GGUF.

There are a number of options for quantization level, but we recommend `Q4_K_M`.
ways to get a GGUF version of granite-7b-lab, but the simplest is to download a pre-converted one from
[huggingface.co](https://huggingface.co) here: https://huggingface.co/instructlab/granite-7b-lab-GGUF/blob/main/granite-7b-lab-Q4_K_M.gguf.

The recommended model can be downloaded using the code snippet below:

```bash
cd ../../../models
curl -sLO https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GGUF/resolve/main/mistral-7b-instruct-v0.1.Q4_K_M.gguf
curl -sLO https://huggingface.co/instructlab/granite-7b-lab-GGUF/resolve/main/granite-7b-lab-Q4_K_M.gguf
cd ../recipes/natural_language_processing/summarizer
```

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