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RichardErkhov/
TomGrc_-_FusionNet_passthrough_v0.1-gguf

Name: TomGrc_-_FusionNet_passthrough_v0.1-gguf
Availability: InStock

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FusionNet_passthrough_v0.1 - GGUF

Model creator: https://huggingface.co/TomGrc/
Original model: https://huggingface.co/TomGrc/FusionNet_passthrough_v0.1/

Name	Quant method	Size
FusionNet_passthrough_v0.1.Q2_K.gguf	Q2_K	7.32GB
FusionNet_passthrough_v0.1.IQ3_XS.gguf	IQ3_XS	3.47GB
FusionNet_passthrough_v0.1.IQ3_S.gguf	IQ3_S	5.79GB
FusionNet_passthrough_v0.1.Q3_K_S.gguf	Q3_K_S	8.54GB
FusionNet_passthrough_v0.1.IQ3_M.gguf	IQ3_M	8.87GB
FusionNet_passthrough_v0.1.Q3_K.gguf	Q3_K	9.52GB
FusionNet_passthrough_v0.1.Q3_K_M.gguf	Q3_K_M	9.52GB
FusionNet_passthrough_v0.1.Q3_K_L.gguf	Q3_K_L	10.37GB
FusionNet_passthrough_v0.1.IQ4_XS.gguf	IQ4_XS	10.69GB
FusionNet_passthrough_v0.1.Q4_0.gguf	Q4_0	11.14GB
FusionNet_passthrough_v0.1.IQ4_NL.gguf	IQ4_NL	11.27GB
FusionNet_passthrough_v0.1.Q4_K_S.gguf	Q4_K_S	11.23GB
FusionNet_passthrough_v0.1.Q4_K.gguf	Q4_K	11.87GB
FusionNet_passthrough_v0.1.Q4_K_M.gguf	Q4_K_M	11.87GB
FusionNet_passthrough_v0.1.Q4_1.gguf	Q4_1	12.37GB
FusionNet_passthrough_v0.1.Q5_0.gguf	Q5_0	13.59GB
FusionNet_passthrough_v0.1.Q5_K_S.gguf	Q5_K_S	13.59GB
FusionNet_passthrough_v0.1.Q5_K.gguf	Q5_K	13.97GB
FusionNet_passthrough_v0.1.Q5_K_M.gguf	Q5_K_M	13.97GB
FusionNet_passthrough_v0.1.Q5_1.gguf	Q5_1	14.82GB
FusionNet_passthrough_v0.1.Q6_K.gguf	Q6_K	16.2GB
FusionNet_passthrough_v0.1.Q8_0.gguf	Q8_0	13.96GB

Original model description:

language:

en license: mit pipeline_tag: text-generation model-index:
name: FusionNet_passthrough_v0.1 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: 69.45 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TomGrc/FusionNet_passthrough_v0.1 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: 87.79 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TomGrc/FusionNet_passthrough_v0.1 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: 65.2 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TomGrc/FusionNet_passthrough_v0.1 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: 67.67 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TomGrc/FusionNet_passthrough_v0.1 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: 81.53 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TomGrc/FusionNet_passthrough_v0.1 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: 22.82 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TomGrc/FusionNet_passthrough_v0.1 name: Open LLM Leaderboard

FusionNet

Fine-tuned model on English language using single passthrough Fusion method.

Model description

The FusionNet is a model to experiment with the single passthrough Fusion method, which could significantly increase the performance of the original model. The FusionNet has 21.2B parameters, and this model is fine-tuned. Enjoy!

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	65.74
AI2 Reasoning Challenge (25-Shot)	69.45
HellaSwag (10-Shot)	87.79
MMLU (5-Shot)	65.20
TruthfulQA (0-shot)	67.67
Winogrande (5-shot)	81.53
GSM8k (5-shot)	22.82

RichardErkhov/TomGrc_-_FusionNet_passthrough_v0.1-gguf

Original model description:

FusionNet

Model description

Open LLM Leaderboard Evaluation Results

RichardErkhov/
TomGrc_-_FusionNet_passthrough_v0.1-gguf