099fe363c7613cde44d35c6c177863f3fb828105759891585bcd174d024d1232
Browse files- .gitattributes +1 -0
- README.md +3 -98
- config.json +2 -1
- generation_config.json +1 -1
- tokenizer.json +0 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -25,101 +25,6 @@ datasets:
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- sequelbox/Tachibana
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- sequelbox/Supernova
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model_type: llama
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model-index:
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- name: Llama3.1-8B-Enigma
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 55.39
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name: strict accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.1-8B-Enigma
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 28.47
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.1-8B-Enigma
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 10.12
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.1-8B-Enigma
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 1.57
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.1-8B-Enigma
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 11.41
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.1-8B-Enigma
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 26.2
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name: accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.1-8B-Enigma
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name: Open LLM Leaderboard
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license: llama3.1
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---
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## Version
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This is the **2024-
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[**Enigma is now available for Llama 3.2 3b** - get it here!](https://huggingface.co/ValiantLabs/Llama3.2-3B-Enigma)
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Help us and recommend Enigma to your friends! We're excited for more Enigma releases in the future.
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Right now, we're working on more new Build Tools to come very soon, built on Llama 3.1 :)
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## Prompting Guide
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outputs = pipeline(
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messages,
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max_new_tokens=
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)
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print(outputs[0]["generated_text"][-1])
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- sequelbox/Tachibana
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- sequelbox/Supernova
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model_type: llama
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license: llama3.1
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---
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## Version
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This is the **2024-10-02** release of Enigma for Llama 3.1 8b, enhancing code-instruct and general chat capabilities.
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[**Enigma is now available for Llama 3.2 3b** - get it here!](https://huggingface.co/ValiantLabs/Llama3.2-3B-Enigma)
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Help us and recommend Enigma to your friends! We're excited for more Enigma releases in the future.
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Right now, we're working on more new Build Tools to come very soon, built on Llama 3.1 and 3.2 :)
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## Prompting Guide
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outputs = pipeline(
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messages,
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max_new_tokens=2048,
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)
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print(outputs[0]["generated_text"][-1])
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config.json
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128008,
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128009
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],
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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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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.
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"use_cache": true,
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"vocab_size": 128256
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}
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128008,
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128009
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],
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"head_dim": 128,
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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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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.45.1",
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"use_cache": true,
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"vocab_size": 128256
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}
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generation_config.json
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],
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.
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}
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],
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.45.1"
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}
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tokenizer.json
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