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eren23_-_DistilHermes-2.5-Mistral-7B-4bits – AI Model by RichardErkhov | AlphaNeural AI
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eren23_-_DistilHermes-2.5-Mistral-7B-4bits
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safetensors
mistral
text-generation
conversational
autotrain_compatible
text-generation-inference
endpoints_compatible
4-bit
bitsandbytes
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DistilHermes-2.5-Mistral-7B - bnb 4bits
Model creator:
https://huggingface.co/eren23/
Original model:
https://huggingface.co/eren23/DistilHermes-2.5-Mistral-7B/
Original model description:
language:
en license: apache-2.0 library_name: transformers datasets:
argilla/distilabel-intel-orca-dpo-pairs pipeline_tag: question-answering model-index:
name: DistilHermes-2.5-Mistral-7B results:
task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics:
type: acc_norm value: 65.87 name: normalized accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/DistilHermes-2.5-Mistral-7B
name: Open LLM Leaderboard
task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics:
type: acc_norm value: 84.78 name: normalized accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/DistilHermes-2.5-Mistral-7B
name: Open LLM Leaderboard
task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics:
type: acc value: 63.65 name: accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/DistilHermes-2.5-Mistral-7B
name: Open LLM Leaderboard
task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics:
type: mc2 value: 54.24 source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/DistilHermes-2.5-Mistral-7B
name: Open LLM Leaderboard
task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics:
type: acc value: 78.22 name: accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/DistilHermes-2.5-Mistral-7B
name: Open LLM Leaderboard
task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics:
type: acc value: 59.82 name: accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/DistilHermes-2.5-Mistral-7B
name: Open LLM Leaderboard
DPO Finetuned teknium/OpenHermes-2.5-Mistral-7B using argilla/distilabel-intel-orca-dpo-pairs.
Intel orca dpo pairs is a distilled version:
https://huggingface.co/datasets/argilla/distilabel-intel-orca-dpo-pairs
of
https://huggingface.co/datasets/Intel/orca_dpo_pairs
Open LLM Leaderboard Evaluation Results
Detailed results can be found
here
Metric
Value
Avg.
67.76
AI2 Reasoning Challenge (25-Shot)
65.87
HellaSwag (10-Shot)
84.78
MMLU (5-Shot)
63.65
TruthfulQA (0-shot)
54.24
Winogrande (5-shot)
78.22
GSM8k (5-shot)
59.82