Files
Marx-3B/README.md
ModelHub XC abef66a66b 初始化项目,由ModelHub XC社区提供模型
Model: acrastt/Marx-3B
Source: Original Platform
2026-06-22 18:54:24 +08:00

4.7 KiB

language, license, datasets, pipeline_tag, model-index
language license datasets pipeline_tag model-index
en
apache-2.0
totally-not-an-llm/everything-sharegptformat-morecleaned
text-generation
name results
Marx-3B
task dataset metrics source
type name
text-generation Text Generation
name type config split args
AI2 Reasoning Challenge (25-Shot) ai2_arc ARC-Challenge test
num_few_shot
25
type value name
acc_norm 43.17 normalized accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Marx-3B Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type split args
HellaSwag (10-Shot) hellaswag validation
num_few_shot
10
type value name
acc_norm 72.68 normalized accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Marx-3B Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type config split args
MMLU (5-Shot) cais/mmlu all test
num_few_shot
5
type value name
acc 28.46 accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Marx-3B Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type config split args
TruthfulQA (0-shot) truthful_qa multiple_choice validation
num_few_shot
0
type value
mc2 39.09
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Marx-3B Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type config split args
Winogrande (5-shot) winogrande winogrande_xl validation
num_few_shot
5
type value name
acc 65.59 accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Marx-3B Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type config split args
GSM8k (5-shot) gsm8k main test
num_few_shot
5
type value name
acc 1.29 accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=acrastt/Marx-3B Open LLM Leaderboard

Buy Me A Coffee

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