bartowski / text-generation Open weights updated 2 years ago

Qwen2.5-7B-Instruct-GGUF

Filename Quant type File Size Split Description -------- ---------- --------- ----- ----------- Qwen2.5-7B-Instruct-f16.gguf f16 15.24GB false Full F16 weights. Qwen2.5-7B-Instruct-Q80.gguf Q80 8.10GB false Extremely high quality, generally unneeded but max available quant. Qwen2.5-7B-Instruct-Q6KL.gguf Q6KL 6.52GB false Uses Q80 for embed and output weights. Very high quality, near perfect, recommended. Qwen2.5-7B-I...

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Downloads 30d
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Commercial use: allowed apache-2.0 Not gated GGUF 1 languages View on Hugging Face ↗

Download history

daily snapshots · 80 days
▲ 4 K in the last 30 days (2.3%)
335 K180 K
Aug 7Sep 2Sep 29Oct 25

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
Qwen2.5-7B-Instruct-IQ2_M.gguf IQ2_M 2.8 GB 3.6 GB ✅ Runs comfortably
Qwen2.5-7B-Instruct-Q2_K.gguf Q2_K 3.0 GB 3.8 GB ✅ Runs comfortably
Qwen2.5-7B-Instruct-IQ3_XS.gguf IQ3_XS 3.3 GB 4.2 GB ✅ Runs comfortably
Qwen2.5-7B-Instruct-IQ3_M.gguf IQ3_M 3.6 GB 4.4 GB ✅ Runs comfortably
Qwen2.5-7B-Instruct-Q2_K_L.gguf Q2_K_L 3.5 GB 4.4 GB ✅ Runs comfortably
Qwen2.5-7B-Instruct-Q3_K_M.gguf Q3_K_M 3.8 GB 4.7 GB ✅ Runs comfortably
Qwen2.5-7B-Instruct-Q3_K_L.gguf Q3_K_L 4.1 GB 5.0 GB ✅ Runs comfortably
Qwen2.5-7B-Instruct-IQ4_XS.gguf IQ4_XS 4.2 GB 5.1 GB ✅ Runs comfortably
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub
~ · ollama · IQ2_M
$ ollama run qwen2-5-7b-instruct-gguf

# pin the quantization explicitly
$ ollama run qwen2-5-7b-instruct-gguf-iq2_m
est. VRAM 3.6 GBon RTX 4090 · 24 GBJSON API →

Specifications

Licence
apache-2.0
First seen on the Hub
2024-09-16
Base model
Qwen2.5-7B-Instruct
Training datasets
undisclosed
Added to our catalog
2026-08-07

Family

Base model and the most-downloaded derivatives in the catalog.

Compare with any text-generation model