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Readme tweaks. (#1446)

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Laurent Mazare
2023-12-16 06:23:12 -06:00
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@ -66,7 +66,10 @@ We also provide a some command line based examples using state of the art models
- [StableLM-3B-4E1T](./candle-examples/examples/stable-lm/): a 3b general LLM
pre-trained on 1T tokens of English and code datasets.
- [Mistral7b-v0.1](./candle-examples/examples/mistral/): a 7b general LLM with
performance larger than all publicly available 13b models as of 2023-09-28.
better performance than all publicly available 13b models as of 2023-09-28.
- [Mixtral8x7b-v0.1](./candle-examples/examples/mixtral/): a sparse mixture of
experts 8x7b general LLM with better performance than a Llama 2 70B model with
much faster inference.
- [StarCoder](./candle-examples/examples/bigcode/): LLM specialized to code generation.
- [Replit-code-v1.5](./candle-examples/examples/replit-code/): a 3.3b LLM specialized for code completion.
- [Yi-6B / Yi-34B](./candle-examples/examples/yi/): two bilingual
@ -181,9 +184,9 @@ If you have an addition to this list, please submit a pull request.
- Quantized LLMs.
- Llama 7b, 13b, 70b, as well as the chat and code variants.
- Mistral 7b, and 7b instruct.
- Zephyr 7b a and b (Mistral based).
- OpenChat 3.5 (Mistral based).
- Mixtral 8x7b.
- Zephyr 7b a and b (Mistral-7b based).
- OpenChat 3.5 (Mistral-7b based).
- Text to text.
- T5 and its variants: FlanT5, UL2, MADLAD400 (translation), CoEdit (Grammar correction).
- Marian MT (Machine Translation).