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RichardErkhov/
acrastt_-_Marx-3B-gguf

Name: acrastt_-_Marx-3B-gguf
Availability: InStock

endpoints_compatible

gguf

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Quantization made by Richard Erkhov.

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Marx-3B - GGUF

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

Name	Quant method	Size
Marx-3B.Q2_K.gguf	Q2_K	1.84GB
Marx-3B.IQ3_XS.gguf	IQ3_XS	1.84GB
Marx-3B.IQ3_S.gguf	IQ3_S	1.84GB
Marx-3B.Q3_K_S.gguf	Q3_K_S	1.84GB
Marx-3B.IQ3_M.gguf	IQ3_M	1.92GB
Marx-3B.Q3_K.gguf	Q3_K	1.99GB
Marx-3B.Q3_K_M.gguf	Q3_K_M	1.99GB
Marx-3B.Q3_K_L.gguf	Q3_K_L	2.06GB
Marx-3B.IQ4_XS.gguf	IQ4_XS	1.86GB
Marx-3B.Q4_0.gguf	Q4_0	1.84GB
Marx-3B.IQ4_NL.gguf	IQ4_NL	1.86GB
Marx-3B.Q4_K_S.gguf	Q4_K_S	2.24GB
Marx-3B.Q4_K.gguf	Q4_K	2.4GB
Marx-3B.Q4_K_M.gguf	Q4_K_M	2.4GB
Marx-3B.Q4_1.gguf	Q4_1	2.04GB
Marx-3B.Q5_0.gguf	Q5_0	2.23GB
Marx-3B.Q5_K_S.gguf	Q5_K_S	2.42GB
Marx-3B.Q5_K.gguf	Q5_K	2.57GB
Marx-3B.Q5_K_M.gguf	Q5_K_M	2.57GB
Marx-3B.Q5_1.gguf	Q5_1	2.42GB
Marx-3B.Q6_K.gguf	Q6_K	3.39GB
Marx-3B.Q8_0.gguf	Q8_0	3.39GB

Original model description:

language:

en license: apache-2.0 datasets:
totally-not-an-llm/everything-sharegptformat-morecleaned pipeline_tag: text-generation model-index:
name: Marx-3B 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: 43.17 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Marx-3B 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: 72.68 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Marx-3B 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: 28.46 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Marx-3B 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: 39.09 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Marx-3B 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: 65.59 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Marx-3B 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: 1.29 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Marx-3B name: Open LLM Leaderboard

This is OpenLLaMA 3B V2 finetuned on EverythingLM Data(ShareGPT format more cleaned) for 1 epochs.

Prompt template:

### HUMAN:
{prompt}

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

GGML quants available here.
GPTQ quants available here.

Note: Don't expect this model to be good, I was just starting out to finetune. So don't roast me please!

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	41.71
ARC (25-shot)	43.17
HellaSwag (10-shot)	72.68
MMLU (5-shot)	28.46
TruthfulQA (0-shot)	39.09
Winogrande (5-shot)	65.59
GSM8K (5-shot)	1.29

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	41.71
AI2 Reasoning Challenge (25-Shot)	43.17
HellaSwag (10-Shot)	72.68
MMLU (5-Shot)	28.46
TruthfulQA (0-shot)	39.09
Winogrande (5-shot)	65.59
GSM8k (5-shot)	1.29

RichardErkhov/acrastt_-_Marx-3B-gguf

Original model description:

Open LLM Leaderboard Evaluation Results

Open LLM Leaderboard Evaluation Results

RichardErkhov/
acrastt_-_Marx-3B-gguf