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Model: mlabonne/GML-Mistral-merged-v1 Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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tags:
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- merge
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- mergekit
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model-index:
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- name: GML-Mistral-merged-v1
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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: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 43.77
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/GML-Mistral-merged-v1
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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: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 57.89
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/GML-Mistral-merged-v1
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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 (5-Shot)
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type: cais/mmlu
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config: all
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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: 64.13
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/GML-Mistral-merged-v1
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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: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 51.58
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/GML-Mistral-merged-v1
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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: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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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: 73.88
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/GML-Mistral-merged-v1
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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: GSM8k (5-shot)
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type: gsm8k
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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: 0.0
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/GML-Mistral-merged-v1
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name: Open LLM Leaderboard
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---
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# GML-Mistral-merged-v1
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Quick attempt to reproduce [zyh3826/GML-Mistral-merged-v1](https://huggingface.co/zyh3826/GML-Mistral-merged-v1).
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This model is a merge of the following models made with [mergekit](https://github.com/cg123/mergekit):
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* [quantumaikr/quantum-v0.01](https://huggingface.co/quantumaikr/quantum-v0.01)
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* [mncai/mistral-7b-dpo-v5](https://huggingface.co/mncai/mistral-7b-dpo-v5)
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## 🧩 Configuration
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```yaml
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slices:
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- sources:
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- model: quantumaikr/quantum-v0.01
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layer_range: [0, 32]
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- sources:
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- model: mncai/mistral-7b-dpo-v5
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layer_range: [24, 32]
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merge_method: passthrough
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dtype: bfloat16
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```
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_mlabonne__GML-Mistral-merged-v1)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |48.54|
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|AI2 Reasoning Challenge (25-Shot)|43.77|
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|HellaSwag (10-Shot) |57.89|
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|MMLU (5-Shot) |64.13|
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|TruthfulQA (0-shot) |51.58|
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|Winogrande (5-shot) |73.88|
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|GSM8k (5-shot) | 0.00|
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26
config.json
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{
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"_name_or_path": "quantumaikr/quantum-v0.01",
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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": 2,
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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": 40,
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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": "bfloat16",
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"transformers_version": "4.35.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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1
configuration.json
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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size 9919912032
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oid sha256:5f560c83a7d6977f647385a6d719cade9beca8a9ae070dac06ecee52723f1ff8
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special_tokens_map.json
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tokenizer.json
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tokenizer.json
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tokenizer_config.json
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