初始化项目，由ModelHub XC社区提供模型
Model: TheBloke/koala-7B-HF Source: Original Platform
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README.md
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---
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license: other
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library_name: transformers
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pipeline_tag: text-generation
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datasets:
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- RyokoAI/ShareGPT52K
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- Hello-SimpleAI/HC3
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tags:
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- koala
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- ShareGPT
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- llama
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- gptq
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---
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<!-- header start -->
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<div style="width: 100%;">
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<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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</div>
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<div style="display: flex; justify-content: space-between; width: 100%;">
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<div style="display: flex; flex-direction: column; align-items: flex-start;">
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<p><a href="https://discord.gg/Jq4vkcDakD">Chat & support: my new Discord server</a></p>
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</div>
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<div style="display: flex; flex-direction: column; align-items: flex-end;">
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<p><a href="https://www.patreon.com/TheBlokeAI">Want to contribute? TheBloke's Patreon page</a></p>
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</div>
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</div>
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<!-- header end -->
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# Koala: A Dialogue Model for Academic Research
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This repo contains the weights of the Koala 7B model produced at Berkeley. It is the result of combining the diffs from https://huggingface.co/young-geng/koala with the original Llama 7B model.
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This version has then been converted to HF format.
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## My Koala repos
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I have the following Koala model repositories available:
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**13B models:**
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* [Unquantized 13B model in HF format](https://huggingface.co/TheBloke/koala-13B-HF)
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* [GPTQ quantized 4bit 13B model in `pt` and `safetensors` formats](https://huggingface.co/TheBloke/koala-13B-GPTQ-4bit-128g)
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* [GPTQ quantized 4bit 13B model in GGML format for `llama.cpp`](https://huggingface.co/TheBloke/koala-13B-GPTQ-4bit-128g-GGML)
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**7B models:**
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* [Unquantized 7B model in HF format](https://huggingface.co/TheBloke/koala-7B-HF)
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* [Unquantized 7B model in GGML format for llama.cpp](https://huggingface.co/TheBloke/koala-7b-ggml-unquantized)
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* [GPTQ quantized 4bit 7B model in `pt` and `safetensors` formats](https://huggingface.co/TheBloke/koala-7B-GPTQ-4bit-128g)
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* [GPTQ quantized 4bit 7B model in GGML format for `llama.cpp`](https://huggingface.co/TheBloke/koala-7B-GPTQ-4bit-128g-GGML)
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## How the Koala delta weights were merged
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The Koala delta weights were merged using the following commands:
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```
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git clone https://github.com/young-geng/EasyLM
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git clone https://huggingface.co/nyanko7/LLaMA-7B
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git clone https://huggingface.co/young-geng/koala koala_diffs
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cd EasyLM
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PYTHON_PATH="${PWD}:$PYTHONPATH" python \
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-m EasyLM.models.llama.convert_torch_to_easylm \
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--checkpoint_dir=/content/LLaMA-7B \
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--output_file=/content/llama-7B-LM \
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--streaming=True
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PYTHON_PATH="${PWD}:$PYTHONPATH" python \
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-m EasyLM.scripts.diff_checkpoint --recover_diff=True \
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--load_base_checkpoint='params::/content/llama-7B-LM' \
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--load_target_checkpoint='params::/content/koala_diffs/koala_7b_diff_v2' \
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--output_file=/content/koala_7b.diff.weights \
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--streaming=True
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PYTHON_PATH="${PWD}:$PYTHONPATH" python \
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-m EasyLM.models.llama.convert_easylm_to_hf --model_size=7b \
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--output_dir=/content/koala-7B-HF \
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--load_checkpoint='params::/content/koala_7b.diff.weights' \
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--tokenizer_path=/content/LLaMA-7B/tokenizer.model
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```
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<!-- footer start -->
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## Discord
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For further support, and discussions on these models and AI in general, join us at:
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[TheBloke AI's Discord server](https://discord.gg/Jq4vkcDakD)
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## Thanks, and how to contribute.
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Thanks to the [chirper.ai](https://chirper.ai) team!
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I've had a lot of people ask if they can contribute. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training.
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If you're able and willing to contribute it will be most gratefully received and will help me to keep providing more models, and to start work on new AI projects.
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Donaters will get priority support on any and all AI/LLM/model questions and requests, access to a private Discord room, plus other benefits.
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* Patreon: https://patreon.com/TheBlokeAI
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* Ko-Fi: https://ko-fi.com/TheBlokeAI
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**Patreon special mentions**: Aemon Algiz, Dmitriy Samsonov, Nathan LeClaire, Trenton Dambrowitz, Mano Prime, David Flickinger, vamX, Nikolai Manek, senxiiz, Khalefa Al-Ahmad, Illia Dulskyi, Jonathan Leane, Talal Aujan, V. Lukas, Joseph William Delisle, Pyrater, Oscar Rangel, Lone Striker, Luke Pendergrass, Eugene Pentland, Sebastain Graf, Johann-Peter Hartman.
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Thank you to all my generous patrons and donaters!
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<!-- footer end -->
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## Further info
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Check out the following links to learn more about the Berkeley Koala model.
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* [Blog post](https://bair.berkeley.edu/blog/2023/04/03/koala/)
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* [Online demo](https://koala.lmsys.org/)
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* [EasyLM: training and serving framework on GitHub](https://github.com/young-geng/EasyLM)
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* [Documentation for running Koala locally](https://github.com/young-geng/EasyLM/blob/main/docs/koala.md)
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## License
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The model weights are intended for academic research only, subject to the
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[model License of LLaMA](https://github.com/facebookresearch/llama/blob/main/MODEL_CARD.md),
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[Terms of Use of the data generated by OpenAI](https://openai.com/policies/terms-of-use),
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and [Privacy Practices of ShareGPT](https://chrome.google.com/webstore/detail/sharegpt-share-your-chatg/daiacboceoaocpibfodeljbdfacokfjb).
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Any other usage of the model weights, including but not limited to commercial usage, is strictly prohibited.
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config.json
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"architectures": [
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"LlamaForCausalLM"
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],
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"hidden_act": "silu",
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 2048,
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"model_type": "llama",
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"num_attention_heads": 32,
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"rms_norm_eps": 1e-06,
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"tie_word_embeddings": false,
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"vocab_size": 32000
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}
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||||
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||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
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||||
"content": "<s>",
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||||
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||||
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|
||||
}
|
||||
}
|
||||
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
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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33
tokenizer_config.json
Normal file
33
tokenizer_config.json
Normal file
@@ -0,0 +1,33 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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|
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|
||||
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|
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"single_word": false
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user