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Yi-1.5-6B-Chat-ov-int8

Text Generation
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OpenVINO
llama
conversational
Inference Endpoints
text-generation-inference
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  1. README.md +108 -3
  2. config.json +28 -0
  3. generation_config.json +7 -0
  4. model.yaml +9 -0
  5. openvino_detokenizer.bin +3 -0
  6. openvino_detokenizer.xml +97 -0
  7. openvino_model.bin +3 -0
  8. openvino_model.xml +0 -0
  9. openvino_tokenizer.bin +3 -0
  10. openvino_tokenizer.xml +231 -0
  11. special_tokens_map.json +30 -0
  12. tokenizer.json +0 -0
  13. tokenizer.model +3 -0
  14. tokenizer_config.json +53 -0
README.md CHANGED
@@ -1,3 +1,108 @@
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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ ---
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+
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+ # OpenVINO IR model with int8 quantization
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+
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+ Model definition for LocalAI:
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+ ```
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+ name: Yi-6B
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+ backend: transformers
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+ parameters:
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+ model: fakezeta/Yi-1.5-6B-Chat-ov-int8
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+ context_size: 8192
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+ type: OVModelForCausalLM
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+ template:
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+ use_tokenizer_template: true
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+ ```
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+
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+ To run the model directly with LocalAI:
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+ ```
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+ local-ai run huggingface://fakezeta/Yi-1.5-6B-Chat-ov-int8/model.yaml
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+ ```
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+
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+ <div align="center">
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+
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+ <picture>
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+ <img src="https://raw.githubusercontent.com/01-ai/Yi/main/assets/img/Yi_logo_icon_light.svg" width="150px">
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+ </picture>
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+
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+ </div>
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+
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+ <p align="center">
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+ <a href="https://github.com/01-ai">🐙 GitHub</a> •
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+ <a href="https://discord.gg/hYUwWddeAu">👾 Discord</a> •
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+ <a href="https://twitter.com/01ai_yi">🐤 Twitter</a> •
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+ <a href="https://github.com/01-ai/Yi-1.5/issues/2">💬 WeChat</a>
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+ <br/>
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+ <a href="https://arxiv.org/abs/2403.04652">📝 Paper</a> •
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+ <a href="https://github.com/01-ai/Yi/tree/main?tab=readme-ov-file#faq">🙌 FAQ</a> •
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+ <a href="https://github.com/01-ai/Yi/tree/main?tab=readme-ov-file#learning-hub">📗 Learning Hub</a>
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+ </p>
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+
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+ # Intro
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+
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+ Yi-1.5 is an upgraded version of Yi. It is continuously pre-trained on Yi with a high-quality corpus of 500B tokens and fine-tuned on 3M diverse fine-tuning samples.
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+
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+ Compared with Yi, Yi-1.5 delivers stronger performance in coding, math, reasoning, and instruction-following capability, while still maintaining excellent capabilities in language understanding, commonsense reasoning, and reading comprehension.
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+
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+ <div align="center">
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+
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+ Model | Context Length | Pre-trained Tokens
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+ | :------------: | :------------: | :------------: |
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+ | Yi-1.5 | 4K | 3.6T
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+
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+ </div>
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+
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+ # Models
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+
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+ - Chat models
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+
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+ <div align="center">
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+
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+ | Name | Download |
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+ | --------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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+ | Yi-1.5-34B-Chat | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) |
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+ | Yi-1.5-9B-Chat | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) |
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+ | Yi-1.5-6B-Chat | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) |
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+
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+ </div>
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+
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+ - Base models
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+
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+ <div align="center">
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+
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+ | Name | Download |
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+ | ---------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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+ | Yi-1.5-34B | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) |
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+ | Yi-1.5-9B | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) |
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+ | Yi-1.5-6B | • [🤗 Hugging Face](https://huggingface.co/collections/01-ai/yi-15-2024-05-663f3ecab5f815a3eaca7ca8) • [🤖 ModelScope](https://www.modelscope.cn/organization/01ai) |
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+
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+ </div>
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+
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+ # Benchmarks
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+
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+ - Chat models
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+
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+ Yi-1.5-34B-Chat is on par with or excels beyond larger models in most benchmarks.
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/656d9adce8bf55919aca7c3f/KcsJ9Oc1VnEmfCDEJc5cd.png)
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+
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+ Yi-1.5-9B-Chat is the top performer among similarly sized open-source models.
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/656d9adce8bf55919aca7c3f/xf6pLg5jqRCwjlh6m3t6_.png)
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+
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+ - Base models
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+
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+ Yi-1.5-34B is on par with or excels beyond larger models in some benchmarks.
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/656d9adce8bf55919aca7c3f/BwU7QM-03dZvZzwdIE1xY.png)
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+
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+ Yi-1.5-9B is the top performer among similarly sized open-source models.
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/656d9adce8bf55919aca7c3f/y-EYSYPT-3aWLJ0x8R94F.png)
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+
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+ # Quick Start
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+
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+ For getting up and running with Yi-1.5 models quickly, see [README](https://github.com/01-ai/Yi-1.5).
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+
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+ "vocab_size": 64000
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+ }
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+ name: Yi-6B
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+ backend: transformers
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+ parameters:
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+ model: fakezeta/Yi-1.5-6B-Chat-ov-int8
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+ context_size: 8192
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+ type: OVModelForCausalLM
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+ template:
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+ use_tokenizer_template: true
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