👁 Alibaba
Alibaba
Qwen 2.5 Math 7B
Current
144.8KDownloads91LikesSep 2024Released4K tokensContextApache 2.0License14 EntryQuality
Qwen 2.5 Math 7B (7B parameters) requires approximately 6.6 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 8 GB of VRAM.
Get started
— copy & paste to run locallyCopy-paste commands to run Qwen 2.5 Math 7B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "Qwen/Qwen2.5-Math-7B-Instruct" \
--hf-file "Qwen2.5-Math-7B-Instruct-Q4_K_M.gguf" \
-c 4096 -ngl 99Quick specs
Parameters7B
Architecturedense
Context4K tokens
Modalitytext
Min RAM2.7 GB
Rec. RAM4.3 GB (Q4_K_M)
LicenseApache 2.0
FamilyQwen
✓ Reasoning
About this model
Related models
Your hardware
Detecting...
Quick picks
Best hardware
Top picks for Qwen 2.5 Math 7B
Run this model
Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | — |
Q3_K_S | 3 | 3.4 GB | Low | — |
NVFP4 | 4 | 3.9 GB | Medium | — |
Q4_K_M | 4 | 4.3 GB | Medium | — |
Q5_K_M | 5 | 5.0 GB | High | — |
Q6_K | 6 | 5.7 GB | High | — |
Q8_0 | 8 | 7.5 GB | Very High | — |
F16 | 16 | 14.3 GB | Maximum | — |
Quality benchmarks
Qwen 2.5 Math 7B benchmark scores
Reasoning
MMLU-Pro20.2%
GPQA Diamond1.6%
MATH-50058.1%
ARC Challenge—
General
Chatbot Arena—
IFEval26.4%
Source: community · 2025-01-01
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights4.3 GB
KV Cache0.9 GB
Runtime0.9 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Qwen 2.5 Math 7B
See also