Upload folder using huggingface_hub
Browse files- README.md +92 -0
- config.json +38 -0
- generation_config.json +6 -0
- md5 +11 -0
- model.safetensors.index.json +442 -0
- nohup.out +0 -0
- output.safetensors +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +53 -0
README.md
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---
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license: apache-2.0
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---
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<div align="center">
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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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</div>
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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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# Intro
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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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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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<div align="center">
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Model | Context Length | Pre-trained Tokens
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| :------------: | :------------: | :------------: |
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| Yi-1.5 | 4K, 16K, 32K | 3.6T
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</div>
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# Models
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- Chat models
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<div align="center">
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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-1.5-34B-Chat-16K | • [🤗 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-1.5-9B-Chat-16K | • [🤗 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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</div>
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- Base models
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<div align="center">
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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-1.5-34B-32K | • [🤗 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-1.5-9B-32K | • [🤗 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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</div>
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# Benchmarks
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- Chat models
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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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![image/png](https://cdn-uploads.huggingface.co/production/uploads/656d9adce8bf55919aca7c3f/KcsJ9Oc1VnEmfCDEJc5cd.png)
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Yi-1.5-9B-Chat is the top performer among similarly sized open-source models.
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/656d9adce8bf55919aca7c3f/xf6pLg5jqRCwjlh6m3t6_.png)
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- Base models
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Yi-1.5-34B is on par with or excels beyond larger models in some benchmarks.
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/656d9adce8bf55919aca7c3f/BwU7QM-03dZvZzwdIE1xY.png)
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Yi-1.5-9B is the top performer among similarly sized open-source models.
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/656d9adce8bf55919aca7c3f/y-EYSYPT-3aWLJ0x8R94F.png)
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# Quick Start
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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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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 16384,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 48,
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"num_key_value_heads": 4,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 5000000,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.0",
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"use_cache": false,
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"vocab_size": 64000,
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"quantization_config": {
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"quant_method": "exl2",
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"version": "0.0.21",
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"bits": 3.0,
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"head_bits": 6,
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"calibration": {
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"rows": 100,
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"length": 2048,
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"dataset": "(default)"
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}
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}
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.40.0"
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}
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md5
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f96e980bae1c1336483e07586750b1c1 config.json
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b392e4e42890d4d6e0bdaf1eb7d51f54 generation_config.json
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0d70c96856b668ea2d47e59bc5d4221b model-00001-of-00004.safetensors
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5d5f3d6c712612a7543f456e32488eee model-00002-of-00004.safetensors
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b47885eeafad4214b1d35611715d507e model-00003-of-00004.safetensors
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2489bc48e8ab3029ba5fb36ccef0a709 model-00004-of-00004.safetensors
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8918290652a4ee6dc89dea20d86768d4 model.safetensors.index.json
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154a77922391b45682115a35a4fa1d85 special_tokens_map.json
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431e5b229fb9efa8c11ccc673036569d tokenizer.json
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291724ef50f729e45d68f474a7755bbc tokenizer.model
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37394eb363de4cb52f2be0029fd63b3f tokenizer_config.json
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model.safetensors.index.json
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{
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"metadata": {
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"total_size": 17658814464
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},
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"weight_map": {
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"lm_head.weight": "model-00004-of-00004.safetensors",
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"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
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"model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
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"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
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