bartowski / text-generation Open weights updated 1 year ago

Qwen2.5-14B-Instruct-GGUF

Filename Quant type File Size Split Description -------- ---------- --------- ----- ----------- Qwen2.5-14B-Instruct-f16.gguf f16 29.55GB false Full F16 weights. Qwen2.5-14B-Instruct-Q80.gguf Q80 15.70GB false Extremely high quality, generally unneeded but max available quant. Qwen2.5-14B-Instruct-Q6KL.gguf Q6KL 12.50GB false Uses Q80 for embed and output weights. Very high quality, near perfect, recommended. Qwen2.5...

Params
14.0 B
Context
32,768
Downloads 30d
154 K
Likes
74
Commercial use: allowed apache-2.0 Not gated GGUF 1 languages View on Hugging Face ↗

Download history

tracking started — chart appears after 7 days of snapshots (3 recorded)
154 K downloads in the last 30 days

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
Qwen2.5-14B-Instruct-IQ2_M.gguf IQ2_M 5.4 GB 8.5 GB ✅ Runs comfortably
Qwen2.5-14B-Instruct-Q2_K.gguf Q2_K 5.8 GB 8.9 GB ✅ Runs comfortably
Qwen2.5-14B-Instruct-IQ3_XS.gguf IQ3_XS 6.4 GB 9.6 GB ✅ Runs comfortably
Qwen2.5-14B-Instruct-Q2_K_L.gguf Q2_K_L 6.5 GB 9.8 GB ✅ Runs comfortably
Qwen2.5-14B-Instruct-IQ3_M.gguf IQ3_M 6.9 GB 10.2 GB ✅ Runs comfortably
Qwen2.5-14B-Instruct-Q3_K_M.gguf Q3_K_M 7.3 GB 10.7 GB ✅ Runs comfortably
Qwen2.5-14B-Instruct-Q3_K_L.gguf Q3_K_L 7.9 GB 11.3 GB ✅ Runs comfortably
Qwen2.5-14B-Instruct-IQ4_XS.gguf IQ4_XS 8.1 GB 11.5 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 qwen2-5-14b-instruct-gguf

# pin the quantization explicitly
$ ollama run qwen2-5-14b-instruct-gguf-iq2_m
est. VRAM 8.5 GBon RTX 4090 · 24 GBJSON API →

Specifications

Parameters
14.0 B
Context length
32,768
Licence
apache-2.0
First seen on the Hub
2024-09-17
Base model
Qwen2.5-14B-Instruct
Training datasets
undisclosed
Added to our catalog
2026-10-23

Family

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

Compare with any text-generation model