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RichardErkhov/
luqmanxyz_-_Maya_Hermes-2.5-Mistral-7B-gguf

Name: luqmanxyz_-_Maya_Hermes-2.5-Mistral-7B-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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Maya_Hermes-2.5-Mistral-7B - GGUF

Model creator: https://huggingface.co/luqmanxyz/
Original model: https://huggingface.co/luqmanxyz/Maya_Hermes-2.5-Mistral-7B/

Name	Quant method	Size
Maya_Hermes-2.5-Mistral-7B.Q2_K.gguf	Q2_K	2.53GB
Maya_Hermes-2.5-Mistral-7B.IQ3_XS.gguf	IQ3_XS	2.81GB
Maya_Hermes-2.5-Mistral-7B.IQ3_S.gguf	IQ3_S	2.96GB
Maya_Hermes-2.5-Mistral-7B.Q3_K_S.gguf	Q3_K_S	2.95GB
Maya_Hermes-2.5-Mistral-7B.IQ3_M.gguf	IQ3_M	3.06GB
Maya_Hermes-2.5-Mistral-7B.Q3_K.gguf	Q3_K	3.28GB
Maya_Hermes-2.5-Mistral-7B.Q3_K_M.gguf	Q3_K_M	3.28GB
Maya_Hermes-2.5-Mistral-7B.Q3_K_L.gguf	Q3_K_L	3.56GB
Maya_Hermes-2.5-Mistral-7B.IQ4_XS.gguf	IQ4_XS	3.67GB
Maya_Hermes-2.5-Mistral-7B.Q4_0.gguf	Q4_0	3.83GB
Maya_Hermes-2.5-Mistral-7B.IQ4_NL.gguf	IQ4_NL	3.87GB
Maya_Hermes-2.5-Mistral-7B.Q4_K_S.gguf	Q4_K_S	3.86GB
Maya_Hermes-2.5-Mistral-7B.Q4_K.gguf	Q4_K	4.07GB
Maya_Hermes-2.5-Mistral-7B.Q4_K_M.gguf	Q4_K_M	4.07GB
Maya_Hermes-2.5-Mistral-7B.Q4_1.gguf	Q4_1	4.24GB
Maya_Hermes-2.5-Mistral-7B.Q5_0.gguf	Q5_0	4.65GB
Maya_Hermes-2.5-Mistral-7B.Q5_K_S.gguf	Q5_K_S	4.65GB
Maya_Hermes-2.5-Mistral-7B.Q5_K.gguf	Q5_K	4.78GB
Maya_Hermes-2.5-Mistral-7B.Q5_K_M.gguf	Q5_K_M	4.78GB
Maya_Hermes-2.5-Mistral-7B.Q5_1.gguf	Q5_1	5.07GB
Maya_Hermes-2.5-Mistral-7B.Q6_K.gguf	Q6_K	5.53GB
Maya_Hermes-2.5-Mistral-7B.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: apache-2.0 datasets:

argilla/distilabel-intel-orca-dpo-pairs model-index:
name: Maya_Hermes-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: 66.3 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/Maya_Hermes-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: 85.07 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/Maya_Hermes-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: 63.23 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/Maya_Hermes-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: 55.89 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/Maya_Hermes-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: 78.85 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/Maya_Hermes-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: 62.24 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=luqmanxyz/Maya_Hermes-2.5-Mistral-7B name: Open LLM Leaderboard

Model Card for Model ID

This model is a DPO finetuned variation of https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B using the argilla/distilabel-intel-orca-dpo-pairs

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	68.60
AI2 Reasoning Challenge (25-Shot)	66.30
HellaSwag (10-Shot)	85.07
MMLU (5-Shot)	63.23
TruthfulQA (0-shot)	55.89
Winogrande (5-shot)	78.85
GSM8k (5-shot)	62.24

RichardErkhov/luqmanxyz_-_Maya_Hermes-2.5-Mistral-7B-gguf

Original model description:

Model Card for Model ID

Open LLM Leaderboard Evaluation Results

RichardErkhov/
luqmanxyz_-_Maya_Hermes-2.5-Mistral-7B-gguf