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RichardErkhov/
ChaoticNeutrals_-_Bepis_9B-gguf

Name: ChaoticNeutrals_-_Bepis_9B-gguf
Availability: InStock

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gguf

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Bepis_9B - GGUF

Model creator: https://huggingface.co/ChaoticNeutrals/
Original model: https://huggingface.co/ChaoticNeutrals/Bepis_9B/

Name	Quant method	Size
Bepis_9B.Q2_K.gguf	Q2_K	3.13GB
Bepis_9B.IQ3_XS.gguf	IQ3_XS	3.48GB
Bepis_9B.IQ3_S.gguf	IQ3_S	3.67GB
Bepis_9B.Q3_K_S.gguf	Q3_K_S	3.65GB
Bepis_9B.IQ3_M.gguf	IQ3_M	3.79GB
Bepis_9B.Q3_K.gguf	Q3_K	4.05GB
Bepis_9B.Q3_K_M.gguf	Q3_K_M	4.05GB
Bepis_9B.Q3_K_L.gguf	Q3_K_L	4.41GB
Bepis_9B.IQ4_XS.gguf	IQ4_XS	4.55GB
Bepis_9B.Q4_0.gguf	Q4_0	4.74GB
Bepis_9B.IQ4_NL.gguf	IQ4_NL	4.79GB
Bepis_9B.Q4_K_S.gguf	Q4_K_S	4.78GB
Bepis_9B.Q4_K.gguf	Q4_K	5.04GB
Bepis_9B.Q4_K_M.gguf	Q4_K_M	5.04GB
Bepis_9B.Q4_1.gguf	Q4_1	5.26GB
Bepis_9B.Q5_0.gguf	Q5_0	5.77GB
Bepis_9B.Q5_K_S.gguf	Q5_K_S	5.77GB
Bepis_9B.Q5_K.gguf	Q5_K	5.93GB
Bepis_9B.Q5_K_M.gguf	Q5_K_M	5.93GB
Bepis_9B.Q5_1.gguf	Q5_1	6.29GB
Bepis_9B.Q6_K.gguf	Q6_K	6.87GB
Bepis_9B.Q8_0.gguf	Q8_0	8.89GB

Original model description:

language:

en license: other library_name: transformers tags:
mergekit
merge base_model: [] model-index:
name: Bepis_9B 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: 62.54 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Bepis_9B 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: 80.12 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Bepis_9B 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: 62.84 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Bepis_9B 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: 53.3 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Bepis_9B 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: 76.48 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Bepis_9B 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: 39.12 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Bepis_9B name: Open LLM Leaderboard

Bepis

A new 9B model from jeiku. This one is smart, proficient at markdown, knows when to stop talking, and is quite soulful. The merge was an equal 3 way split between https://huggingface.co/ChaoticNeutrals/Prodigy_7B, https://huggingface.co/Test157t/Prima-LelantaclesV6-7b, and https://huggingface.co/cgato/Thespis-CurtainCall-7b-v0.2.1

If there's any 7B to 11B merge or finetune you'd like to see, feel free to leave a message.

The following YAML configuration was used to produce this model:

yaml

slices:
  - sources:
      - model: primathespis
        layer_range: [0, 20]
  - sources:
      - model: prodigalthespis
        layer_range: [12, 32]
merge_method: passthrough
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	62.40
AI2 Reasoning Challenge (25-Shot)	62.54
HellaSwag (10-Shot)	80.12
MMLU (5-Shot)	62.84
TruthfulQA (0-shot)	53.30
Winogrande (5-shot)	76.48
GSM8k (5-shot)	39.12

RichardErkhov/ChaoticNeutrals_-_Bepis_9B-gguf

Original model description:

Bepis

Open LLM Leaderboard Evaluation Results

RichardErkhov/
ChaoticNeutrals_-_Bepis_9B-gguf