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RichardErkhov/
occultml_-_Helios-10.7B-gguf

Name: occultml_-_Helios-10.7B-gguf
Availability: InStock

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Helios-10.7B - GGUF

Model creator: https://huggingface.co/occultml/
Original model: https://huggingface.co/occultml/Helios-10.7B/

Name	Quant method	Size
Helios-10.7B.Q2_K.gguf	Q2_K	2.53GB
Helios-10.7B.IQ3_XS.gguf	IQ3_XS	2.81GB
Helios-10.7B.IQ3_S.gguf	IQ3_S	2.96GB
Helios-10.7B.Q3_K_S.gguf	Q3_K_S	2.95GB
Helios-10.7B.IQ3_M.gguf	IQ3_M	3.06GB
Helios-10.7B.Q3_K.gguf	Q3_K	3.28GB
Helios-10.7B.Q3_K_M.gguf	Q3_K_M	3.28GB
Helios-10.7B.Q3_K_L.gguf	Q3_K_L	3.56GB
Helios-10.7B.IQ4_XS.gguf	IQ4_XS	3.67GB
Helios-10.7B.Q4_0.gguf	Q4_0	3.83GB
Helios-10.7B.IQ4_NL.gguf	IQ4_NL	3.87GB
Helios-10.7B.Q4_K_S.gguf	Q4_K_S	3.86GB
Helios-10.7B.Q4_K.gguf	Q4_K	4.07GB
Helios-10.7B.Q4_K_M.gguf	Q4_K_M	4.07GB
Helios-10.7B.Q4_1.gguf	Q4_1	4.24GB
Helios-10.7B.Q5_0.gguf	Q5_0	4.65GB
Helios-10.7B.Q5_K_S.gguf	Q5_K_S	4.65GB
Helios-10.7B.Q5_K.gguf	Q5_K	4.78GB
Helios-10.7B.Q5_K_M.gguf	Q5_K_M	4.78GB
Helios-10.7B.Q5_1.gguf	Q5_1	5.07GB
Helios-10.7B.Q6_K.gguf	Q6_K	5.53GB
Helios-10.7B.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: apache-2.0 tags:

merge
mergekit model-index:
name: Helios-10.7B 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: 38.91 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=occultml/Helios-10.7B 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: 46.6 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=occultml/Helios-10.7B 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: 41.4 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=occultml/Helios-10.7B 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: 55.52 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=occultml/Helios-10.7B 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: 70.72 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=occultml/Helios-10.7B 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: 0.0 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=occultml/Helios-10.7B name: Open LLM Leaderboard

Helios-10.7B

This model is a merge of the following models made with mergekit:

🧩 Configuration

yaml

slices:
  - sources:
      - model: jeonsworld/CarbonVillain-en-10.7B-v4
        layer_range: [0, 32]
      - model: kekmodel/StopCarbon-10.7B-v5
        layer_range: [0, 32]
merge_method: slerp
base_model: jeonsworld/CarbonVillain-en-10.7B-v4
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	42.19
AI2 Reasoning Challenge (25-Shot)	38.91
HellaSwag (10-Shot)	46.60
MMLU (5-Shot)	41.40
TruthfulQA (0-shot)	55.52
Winogrande (5-shot)	70.72
GSM8k (5-shot)	0.00

RichardErkhov/occultml_-_Helios-10.7B-gguf

Original model description:

Helios-10.7B

🧩 Configuration

Open LLM Leaderboard Evaluation Results

RichardErkhov/
occultml_-_Helios-10.7B-gguf