MetaMath Mistral 7B By meta-math: Benchmarks, Features and Detailed Analysis. Insights on MetaMath Mistral 7B.

Arxiv:2309.12284 Arxiv:2310.06825 Autotrain compatible Dataset:meta-math/metamathqa Endpoints compatible Mistral Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/meta-math/MetaMath-Mistral-7B

MetaMath Mistral 7B Benchmarks

ARC: 60.67 vs 96.7 (so35)^-37.3%

HellaSwag: 82.58 vs 95.3 (gpt4)^-13.3%

MMLU: 61.95 vs 88.3 (so35)^-29.8%

TruthfulQA: 44.89 vs 59 (gpt4)^-23.9%

WinoGrande: 75.77 vs 87.5 (gpt4)^-13.4%

GSM8K: 68.84 vs 96.4 (so35)^-28.6%

LLME Score: 0.20669

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

MetaMath Mistral 7B (meta-math/MetaMath-Mistral-7B)

MetaMath Mistral 7B Parameters and Internals

Model Type

text generation

Use Cases

Areas:

mathematics, AI research

Training Details

Data Sources:

meta-math/MetaMathQA, GSM8K, MATH

Methodology:

Fine-tuning with adjusted learning rate

Model Architecture:

Mistral-7B

Input Output

Input Format:

{instruction}

Accepted Modalities:

text

Output Format:

Generated text response

Performance Tips:

Using a smaller learning rate when fine-tuning

LLM Name	MetaMath Mistral 7B
Repository 🤗	https://huggingface.co/meta-math/MetaMath-Mistral-7B
Model Size	7b
Required VRAM	14.4 GB
Updated	2024-12-14
Maintainer	meta-math
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.35.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	[PAD]
Vocabulary Size	32001
Torch Data Type	bfloat16

Quantized Models of the MetaMath Mistral 7B

Model	Likes	Downloads	VRAM
MetaMath Mistral 7B GGUF	10	639	3 GB
MetaMath Mistral 7B GPTQ	3	33	4 GB
MetaMath Mistral 7B AWQ	1	21	4 GB

Best Alternatives to MetaMath Mistral 7B

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	2745	9
MegaBeam Mistral 7B 512K	512K / 14.4 GB	18391	47
SpydazWeb AI HumanAI RP	512K / 14.4 GB	36	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	16	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3348	15
Hebrew Mistral 7B 200K	256K / 30 GB	3386	15
Astral 256K 7B V2	250K / 14.4 GB	18	0
Astral 256K 7B	250K / 14.4 GB	11	0
Boptruth Agatha 7B	128K / 14.4 GB	609	0

Note: green Score (e.g. "73.2") means that the model is better than meta-math/MetaMath-Mistral-7B.

Rank the MetaMath Mistral 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Original data from HuggingFace, OpenCompass and various public git repos.

Release v20241124

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