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Qwen2.5 Coder 7B Instruct
◆ OPEN
by Alibaba
OPEN WEIGHTSLOCALAPICLOSED
Qwen coding model for software agents, repository edits, and code reasoning
HAPPY9.7
6 mentions
SAD5.3
1 mentions
VIBE TRAJECTORY
26 weeks · 24 voices
TOO QUIET
Not enough weekly voices to call a trend yet.
HOW TO USE IT
Open weights. You can use a hosted service, or download it and run it yourself, free.
LOOKING FOR AN ALTERNATIVE?
Other models the crowd has fully reviewed, starting with code models like this one.
Grok Code
Deepseek Coder
Codestral> SOURCES (12)
- REDDIT · 2025-09-10 · 7 UPVOTESCan I combine my GTX 1070 (8gb) with another GPU to run better LLMs locally?
Can I combine my GTX 1070 (8gb) with another GPU to run better LLMs locally?
- REDDIT · 2024-11-28 · 6 UPVOTESHelp me understand how load distributed between GPU and CPU
Help me understand how load distributed between GPU and CPU
- REDDIT · 2024-10-17 · 5 UPVOTESAnyone get Cline working with a Local LLM via LM Studio's Local Server?
Anyone get Cline working with a Local LLM via LM Studio's Local Server?
- REDDIT · 2026-07-16 · 4 UPVOTESI managed to squeeze Qwen2.5-Coder-7B into a 1.9GB GGUF (IQ1_S) so it runs natively on Mobile!
I managed to squeeze Qwen2.5-Coder-7B into a 1.9GB GGUF (IQ1_S) so it runs natively on Mobile!
- REDDIT · 2025-02-19 · 3 UPVOTESTop Open-Source Models for Code Generation under 7 Billion Parameters
Top Open-Source Models for Code Generation under 7 Billion Parameters
- REDDIT · 2025-06-11 · 3 UPVOTESi made a commit message generator that can be used offline and for free
i made a commit message generator that can be used offline and for free
- DEV FORUMS · 2026-07-24 · 1 UPVOTESInference Providers billing issue - flat $0.01/request
Inference Providers billing issue - flat $0.01/request
- REDDIT · 2025-04-03 · 1 UPVOTESDownloading pytorch and tensorflow lowered the speed of my responses.
Downloading pytorch and tensorflow lowered the speed of my responses.
- GITHUB · 2026-08-19 · 0 UPVOTEStest(ollama): add live E2E verification against real Ollama instance
test(ollama): add live E2E verification against real Ollama instance
- GITHUB · 2026-08-24 · 0 UPVOTESperf(serve): apr holds 3.08x the VRAM of llama.cpp for the same Q4_K_M weights — 14,030 vs 4,554 MiB
perf(serve): apr holds 3.08x the VRAM of llama.cpp for the same Q4_K_M weights — 14,030 vs 4,554 MiB
- DEV FORUMS · 2026-08-24 · 0 UPVOTESA minimalist DSL to enforce deterministic code generation with LLMs
A minimalist DSL to enforce deterministic code generation with LLMs
- GITHUB · 2026-08-24 · 0 UPVOTESperf(serve): prefill is 3.64x behind llama.cpp — 2,860 vs 10,399 tok/s, same GGUF, same GPU
perf(serve): prefill is 3.64x behind llama.cpp — 2,860 vs 10,399 tok/s, same GGUF, same GPU