ukim4
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Commit
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Parent(s):
Duplicate from localmodels/LLM
Browse files- .gitattributes +35 -0
- README.md +55 -0
- config.json +23 -0
- generation_config.json +7 -0
- quantize_config.json +8 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +34 -0
- vicuna-33b-GPTQ-4bit--1g.act.order.safetensors +3 -0
.gitattributes
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README.md
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---
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duplicated_from: localmodels/LLM
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---
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# Vicuna 33B v1.3 GPTQ
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From LMSYS: https://huggingface.co/lmsys/vicuna-33b-v1.3
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---
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| Model | Bits | Group Size | Act Order (desc_act) | File Size | ExLlama Compatible? | Made With | Description |
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| ------ | ---- | ---------- | -------------------- | --------- | ------------------- | --------- | ----------- |
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| vicuna-33b-GPTQ-4bit--1g.act.order | 4 | None | True | 16.94 GB | True | GPTQ-for-LLaMa | Most compatible. Good inference speed in AutoGPTQ and GPTQ-for-LLaMa. |
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---
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# Vicuna Model Card
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## Model Details
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Vicuna is a chat assistant trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT.
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- **Developed by:** [LMSYS](https://lmsys.org/)
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- **Model type:** An auto-regressive language model based on the transformer architecture.
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- **License:** Non-commercial license
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- **Finetuned from model:** [LLaMA](https://arxiv.org/abs/2302.13971).
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### Model Sources
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- **Repository:** https://github.com/lm-sys/FastChat
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- **Blog:** https://lmsys.org/blog/2023-03-30-vicuna/
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- **Paper:** https://arxiv.org/abs/2306.05685
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- **Demo:** https://chat.lmsys.org/
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## Uses
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The primary use of Vicuna is research on large language models and chatbots.
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The primary intended users of the model are researchers and hobbyists in natural language processing, machine learning, and artificial intelligence.
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## How to Get Started with the Model
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Command line interface: https://github.com/lm-sys/FastChat#vicuna-weights.
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APIs (OpenAI API, Huggingface API): https://github.com/lm-sys/FastChat/tree/main#api.
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## Training Details
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Vicuna v1.3 is fine-tuned from LLaMA with supervised instruction fine-tuning.
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The training data is around 140K conversations collected from ShareGPT.com.
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See more details in the "Training Details of Vicuna Models" section in the appendix of this [paper](https://arxiv.org/pdf/2306.05685.pdf).
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## Evaluation
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Vicuna is evaluated with standard benchmarks, human preference, and LLM-as-a-judge. See more details in this [paper](https://arxiv.org/pdf/2306.05685.pdf) and [leaderboard](https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard).
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## Difference between different versions of Vicuna
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See [vicuna_weights_version.md](https://github.com/lm-sys/FastChat/blob/main/docs/vicuna_weights_version.md)
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config.json
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{
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"_name_or_path": "/content/vicuna-33b/",
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"architectures": [
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"LlamaForCausalLM"
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],
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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": 6656,
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"initializer_range": 0.02,
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"intermediate_size": 17920,
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"max_position_embeddings": 2048,
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"model_type": "llama",
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"num_attention_heads": 52,
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"num_hidden_layers": 60,
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"pad_token_id": 0,
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"rms_norm_eps": 1e-06,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.28.1",
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"use_cache": true,
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"vocab_size": 32000
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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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"pad_token_id": 0,
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"transformers_version": "4.28.1"
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}
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quantize_config.json
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{
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"bits": 4,
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"group_size": -1,
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"damp_percent": 0.01,
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"desc_act": true,
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"sym": true,
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"true_sequential": true
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}
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<unk>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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See raw diff
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"bos_token": {
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"__type": "AddedToken",
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"clean_up_tokenization_spaces": false,
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"eos_token": {
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"__type": "AddedToken",
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"model_max_length": 2048,
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"pad_token": null,
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"padding_side": "right",
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": {
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"__type": "AddedToken",
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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vicuna-33b-GPTQ-4bit--1g.act.order.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:235e6d73683c295cc732410144520f047c3c44e9078c4171a72032b4bf07b30d
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size 16940128408
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