Qwen / text-generation updated 1 year ago

Qwen2.5-3B-Instruct-GGUF

Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:

Params
Context
Downloads 30d
189 K
Likes
157
Licence: other Not gated GGUF 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days
191 K184 K
Jul 28Jul 31Aug 3Aug 6

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
qwen2.5-3b-instruct-q2_k.gguf Q2_K 1.4 GB 2.0 GB ✅ Runs comfortably
qwen2.5-3b-instruct-q3_k_m.gguf Q3_K_M 1.7 GB 2.4 GB ✅ Runs comfortably
qwen2.5-3b-instruct-q4_0.gguf Q4_0 2.0 GB 2.7 GB ✅ Runs comfortably
qwen2.5-3b-instruct-q4_k_m.gguf Q4_K_M 2.1 GB 2.8 GB ✅ Runs comfortably
qwen2.5-3b-instruct-q5_0.gguf Q5_0 2.4 GB 3.1 GB ✅ Runs comfortably
qwen2.5-3b-instruct-q5_k_m.gguf Q5_K_M 2.4 GB 3.2 GB ✅ Runs comfortably
qwen2.5-3b-instruct-q6_k.gguf Q6_K 2.8 GB 3.6 GB ✅ Runs comfortably
qwen2.5-3b-instruct-fp16-00001-of-00002.gguf GGUF 4.0 GB 4.9 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 · Q4_0
$ ollama run qwen2-5-3b-instruct-gguf

# pin the quantization explicitly
$ ollama run qwen2-5-3b-instruct-gguf-q4_0
est. VRAM 2.7 GBon RTX 4090 · 24 GBJSON API →

Specifications

Licence
other
First seen on the Hub
2024-09-17
Base model
Qwen2.5-3B-Instruct
Training datasets
undisclosed
Added to our catalog
2026-07-28

Family

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

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