Deepseek Math 7B Instruct By deepseek-ai: Benchmarks, Features and Detailed Analysis. Insights on Deepseek Math 7B Instruct.

Arxiv:2402.03300 Autotrain compatible Conversational Endpoints compatible Instruct Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/deepseek-ai/deepseek-math-7b-instruct

Deepseek Math 7B Instruct Benchmarks

ARC: 53.41 vs 96.7 (so35)^-44.8%

HellaSwag: 71.5 vs 95.3 (gpt4)^-25%

MMLU: 55.97 vs 88.3 (so35)^-36.6%

TruthfulQA: 40.16 vs 59 (gpt4)^-31.9%

WinoGrande: 65.75 vs 87.5 (gpt4)^-24.9%

GSM8K: 19.41 vs 96.4 (so35)^-79.9%

LLME Score: 0.24578

^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)

Deepseek Math 7B Instruct (deepseek-ai/deepseek-math-7b-instruct)

Deepseek Math 7B Instruct Parameters and Internals

Model Type

text generation, math problem-solving

Use Cases

Areas:

research, education

Applications:

solving mathematical problems, providing step-by-step solutions

Primary Use Cases:

math tutoring, academic research

Considerations:

Use chain-of-thought prompts for optimal performance.

Additional Notes

It's recommended to avoid adding a system prompt for compatibility reasons.

Supported Languages

en (high proficiency), zh (high proficiency)

Input Output

Input Format:

Messages structured as JSON objects with user prompts.

Accepted Modalities:

text

Output Format:

Formatted step-by-step solutions with final answer within boxed notation.

Performance Tips:

Use chain-of-thought prompts to improve solution generation.

LLM Name	Deepseek Math 7B Instruct
Repository 🤗	https://huggingface.co/deepseek-ai/deepseek-math-7b-instruct
Model Size	7b
Required VRAM	13.9 GB
Updated	2025-03-12
Maintainer	deepseek-ai
Model Type	llama
Instruction-Based	Yes
Model Files	10.0 GB: 1-of-2 3.9 GB: 2-of-2
Model Architecture	LlamaForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	4.33.1
Tokenizer Class	LlamaTokenizerFast
Beginning of Sentence Token	<｜begin▁of▁sentence｜>
End of Sentence Token	<｜end▁of▁sentence｜>
Vocabulary Size	102400
Torch Data Type	bfloat16

Quantized Models of the Deepseek Math 7B Instruct

Model	Likes	Downloads	VRAM
...epseek Math 7B Instruct AWQ Q4	0	24	4 GB
Deepseek Math 7B Instruct GPTQ	0	15	4 GB
Deepseek Math 7B Instruct GGUF	1	235	2 GB

Best Alternatives to Deepseek Math 7B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
124	1024K / 16.1 GB	93	0
... Qwen2.5llamaify 7B V23.1 200K	195K / 15.2 GB	2161	3
SuperNeuralDreadDevil 8B	128K / 16.1 GB	52	1
Falcon3 7B Instruct	32K / 14.8 GB	39523	63
Falcon3 Jessi V0.4 7B Slerp	32K / 14.9 GB	315	9
Jessi V0.4 Falcon3 7B Instruct	32K / 14.8 GB	65	0
Jessi V0.6 Falcon3 7B Instruct	32K / 14.8 GB	45	0
Jessi V0.5 Falcon3 7B Instruct	32K / 14.8 GB	42	0
...noAi 7B French Instruct 202502	32K / 14.8 GB	31	0
Taurus Opus 7B	32K / 14.8 GB	41	13

Note: green Score (e.g. "73.2") means that the model is better than deepseek-ai/deepseek-math-7b-instruct.

Rank the Deepseek Math 7B Instruct Capabilities

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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 v20241227

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