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authorLaurent Mazare <laurent.mazare@gmail.com>2023-11-11 12:39:11 +0100
committerGitHub <noreply@github.com>2023-11-11 12:39:11 +0100
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Mention the Yi-6b/Yi-34b models in the readme. (#1321)
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@@ -69,6 +69,8 @@ We also provide a some command line based examples using state of the art models
performance larger than all publicly available 13b models as of 2023-09-28.
- [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
+ (English/Chinese) general LLMs with 6b and 34b parameters.
- [Quantized LLaMA](./candle-examples/examples/quantized/): quantized version of
the LLaMA model using the same quantization techniques as
[llama.cpp](https://github.com/ggerganov/llama.cpp).
@@ -174,6 +176,7 @@ If you have an addition to this list, please submit a pull request.
- StableLM-3B-4E1T.
- Replit-code-v1.5-3B.
- Bert.
+ - Yi-6B and Yi-34B.
- Text to text.
- T5 and its variants: FlanT5, UL2, MADLAD400 (translation), CoEdit (Grammar correction).
- Marian MT (Machine Translation).