LoneStriker
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Upload folder using huggingface_hub
Browse files- README.md +64 -0
- added_tokens.json +4 -0
- config.json +26 -0
- generation_config.json +6 -0
- huggingface-metadata.txt +8 -0
- model.safetensors.index.json +298 -0
- output.safetensors +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +61 -0
README.md
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---
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library_name: trl
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license: apache-2.0
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datasets:
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- argilla/dpo-mix-7k
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language:
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- en
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tags:
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- distilabel
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- dpo
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- rlaif
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- rlhf
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---
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# CapybaraHermes-2.5-Mistral-7B
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<div>
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<img src="https://cdn-uploads.huggingface.co/production/uploads/60420dccc15e823a685f2b03/Vmr0FtTvnny6Snm-UDM_n.png">
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</div>
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<p align="center">
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<a href="https://github.com/argilla-io/distilabel">
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<img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
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</a>
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</p>
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This model is the launching partner of the [capybara-dpo dataset](https://huggingface.co/datasets/argilla/distilabel-capybara-dpo-9k-binarized) build with ⚗️ distilabel. It's a preference tuned [OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B).
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CapybaraHermes has been preference tuned with LoRA and TRL for 3 epochs using argilla's [dpo mix 7k](https://huggingface.co/datasets/argilla/dpo-mix-7k).
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To test the impact on multi-turn performance we have used MTBench. We also include the Nous Benchmark results and Mistral-7B-Instruct-v0.2 for reference as it's a strong 7B model on MTBench:
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| Model | AGIEval | GPT4All | TruthfulQA | Bigbench | MTBench First Turn | MTBench Second Turn | Nous avg. | MTBench avg. |
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|-----------------------------------|---------|---------|------------|----------|------------|-------------|-----------|--------------|
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| argilla/CapybaraHermes-2.5-Mistral-7B | **43.8** | **73.35** | 57.07 | **42.44** | 8.24375 | **7.5625** | 54.16 | **7.903125** |
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| teknium/OpenHermes-2.5-Mistral-7B | 42.75 | 72.99 | 52.99 | 40.94 | **8.25** | 7.2875 | 52.42 | 7.76875 |
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| Mistral-7B-Instruct-v0.2 | 38.5 | 71.64 | **66.82** | 42.29 | 7.8375 | 7.1 | **54.81** | 7.46875 |
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The most interesting aspect in the context of the capybara-dpo dataset is the increased performance in MTBench Second Turn scores.
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For the merge lovers, we also preference tuned Beagle14-7B with a mix of capybara-dpo and distilabel orca pairs using the same recipe as NeuralBeagle (see [ YALL - Yet Another LLM Leaderboard](https://huggingface.co/spaces/mlabonne/Yet_Another_LLM_Leaderboard) for reference):
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| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
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|------------------------------------------------------------------------------------------------------------------------------------|------:|------:|---------:|-------:|------:|
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|[DistilabelBeagle14-7B](https://huggingface.co/dvilasuero/DistilabelBeagle14-7B)| 45.29| 76.92| 71.66| 48.78| 60.66|
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** Argilla
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- **Shared by [optional]:** Argilla
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- **Model type:** 7B chat model
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- **Language(s) (NLP):** English
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- **License:** Same as OpenHermes
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- **Finetuned from model [optional]:** [OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)
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added_tokens.json
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{
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"<|im_end|>": 32000,
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"<|im_start|>": 32001
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}
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config.json
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{
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"_name_or_path": "teknium/OpenHermes-2.5-Mistral-7B",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 32000,
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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": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.37.2",
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"use_cache": false,
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"vocab_size": 32002
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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": 32000,
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"transformers_version": "4.37.2"
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}
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huggingface-metadata.txt
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url: https://huggingface.co/argilla/CapybaraHermes-2.5-Mistral-7B
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branch: main
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download date: 2024-02-01 00:42:52
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sha256sum:
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4c5994fc290b42e59e31f99c598b3062d5191677374cdfd90c7f4de449151b8f model-00001-of-00003.safetensors
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25075f294c955a211455fd139719470c308c246d528a0ea69192024115d34de9 model-00002-of-00003.safetensors
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86b04972fea1a5aed2a465686c09b4ff89955c5bb4fe7e84d3a6c4845780bf2e model-00003-of-00003.safetensors
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dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055 tokenizer.model
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model.safetensors.index.json
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