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Model: mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated Source: Original Platform
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README.md
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---
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license: llama3.1
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library_name: transformers
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tags:
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- abliterated
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- uncensored
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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model-index:
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- name: Meta-Llama-3.1-8B-Instruct-abliterated
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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: 73.29
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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=mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
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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: 27.13
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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=mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
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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: 6.42
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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=mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
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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: 0.89
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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=mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
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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: 3.21
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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=mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
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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: 27.81
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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=mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
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name: Open LLM Leaderboard
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---
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# 🦙 Meta-Llama-3.1-8B-Instruct-abliterated
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<center>🦙 <a href="https://huggingface.co/mlabonne/Llama-3.1-70B-Instruct-lorablated"><i>Llama 3.1 70B Instruct lorablated</i></a></center>
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This is an uncensored version of Llama 3.1 8B Instruct created with abliteration (see [this article](https://huggingface.co/blog/mlabonne/abliteration) to know more about it).
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Special thanks to [@FailSpy](https://huggingface.co/failspy) for the original code and technique. Please follow him if you're interested in abliterated models.
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## ⚡️ Quantization
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Thanks to ZeroWw and Apel-sin for the quants.
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* **New GGUF**: https://huggingface.co/mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated-GGUF
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* **ZeroWw GGUF**: https://huggingface.co/ZeroWw/Meta-Llama-3.1-8B-Instruct-abliterated-GGUF
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* **EXL2**: https://huggingface.co/Apel-sin/llama-3.1-8B-abliterated-exl2
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_mlabonne__Meta-Llama-3.1-8B-Instruct-abliterated)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |23.13|
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|IFEval (0-Shot) |73.29|
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|BBH (3-Shot) |27.13|
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|MATH Lvl 5 (4-Shot)| 6.42|
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|GPQA (0-shot) | 0.89|
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|MuSR (0-shot) | 3.21|
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|MMLU-PRO (5-shot) |27.81|
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38
config.json
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"architectures": [
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"LlamaForCausalLM"
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"attention_bias": false,
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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": 131072,
|
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"mlp_bias": false,
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"model_type": "llama",
|
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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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"pretraining_tp": 1,
|
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"rms_norm_eps": 1e-05,
|
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"rope_scaling": {
|
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"factor": 8.0,
|
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"low_freq_factor": 1.0,
|
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"high_freq_factor": 4.0,
|
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"original_max_position_embeddings": 8192,
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"rope_type": "llama3"
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|
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"rope_theta": 500000.0,
|
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
|
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"transformers_version": "4.42.3",
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"use_cache": true,
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"vocab_size": 128256
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}
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}
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||||
}
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||||
16
special_tokens_map.json
Normal file
16
special_tokens_map.json
Normal file
@@ -0,0 +1,16 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:79e3e522635f3171300913bb421464a87de6222182a0570b9b2ccba2a964b2b4
|
||||
size 9085657
|
||||
2062
tokenizer_config.json
Normal file
2062
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user