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Qwen 2.5 Math 7B

Atual
60.5KDownloads90CurtidasSep 2024Publicado4K tokensContextoApache 2.0Licença14 InicialQualidade

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.

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— copie e cole para rodar localmente

Copy-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 99

Quick 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

> [!Warning] > > > 🚨 Qwen2.5-Math mainly supports solving English and Chinese math problems through CoT and TIR. We do not recommend using this series of models for other tasks. > >

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Opções de quantização

Estimativas de VRAM por nível de quantização

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
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

Benchmark verified

Reasoning

MMLU-Pro20.2%
GPQA Diamond1.6%
MATH-50058.1%
ARC Challenge

General

Chatbot Arena
IFEval26.4%

Source: community · 2025-01-01

Compatibilidade de hardware

Estimativas de compatibilidade para todo o hardware

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Computing compatibility...

Detalhamento de memória

Reference: RTX 2060 6GB

Weights4.3 GB
KV Cache0.9 GB
Runtime0.9 GB
Headroom0.6 GB

Perguntas frequentes

FAQ — Qwen 2.5 Math 7B

Veja também