RichardErkhov/acrastt_-_Marx-3B-V2-gguf

Quantization made by Richard Erkhov.

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Marx-3B-V2 - GGUF

• —Model creator: https://huggingface.co/acrastt/
• —Original model: https://huggingface.co/acrastt/Marx-3B-V2/

Original model description: --- language:

• —en license: apache-2.0 library_name: transformers datasets:
• —totally-not-an-llm/EverythingLM-data-V2-sharegpt model-index:
• —name: Marx-3B-V2 results:
• —task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2arc config: ARC-Challenge split: test args: numfew_shot: 25 metrics:
• —type: accnorm value: 44.03 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=acrastt/Marx-3B-V2 name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: numfewshot: 10 metrics:
• —type: accnorm value: 72.92 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=acrastt/Marx-3B-V2 name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: numfewshot: 5 metrics:
• —type: acc value: 27.84 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=acrastt/Marx-3B-V2 name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthfulqa config: multiplechoice split: validation args: numfewshot: 0 metrics:
• —type: mc2 value: 39.92 source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=acrastt/Marx-3B-V2 name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winograndexl split: validation args: numfew_shot: 5 metrics:
• —type: acc value: 66.54 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=acrastt/Marx-3B-V2 name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: numfewshot: 5 metrics:
• —type: acc value: 1.21 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=acrastt/Marx-3B-V2 name: Open LLM Leaderboard --- <a href="https://www.buymeacoffee.com/acrastt" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 60px !important;width: 217px !important;" ></a>

This is OpenLLaMA 3B V2 finetuned on EverythingLM Data V2(ShareGPT format) for 2 epochs.

Prompt template:

### HUMAN:
{prompt}

### RESPONSE:
<leave a newline for the model to answer>

q41 GGML quant available [here](https://huggingface.co/NikolayKozloff/Marx-3B-V2/).</br> q41 GGUF quant available here.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here