GTOMA83/Qwen2.5-Coder-1.5B-Instruct-GGUF

See our collection for all versions of Qwen3 including GGUF, 4-bit & 16-bit formats.

Learn to run Qwen3-Coder correctly - Read our Guide.

See Unsloth Dynamic 2.0 GGUFs for our quantization benchmarks.

✨ Read our Qwen3-Coder Guide here!

• Fine-tune Qwen3 (14B) for free using our Google Colab notebook!
• Read our Blog about Qwen3 support: unsloth.ai/blog/qwen3
• View the rest of our notebooks in our docs here.

  Unsloth supports	Free Notebooks	Performance	Memory use
  Qwen3 (14B)	▶️ Start on Colab	3x faster	70% less
  GRPO with Qwen3 (8B)	▶️ Start on Colab	3x faster	80% less
  Llama-3.2 (3B)	▶️ Start on Colab	2.4x faster	58% less
  Llama-3.2 (11B vision)	▶️ Start on Colab	2x faster	60% less
  Qwen2.5 (7B)	▶️ Start on Colab	2x faster	60% less

Qwen2.5-Coder-1.5B-Instruct-GGUF

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Perplexity table (the lower the better)

Quant	Size (MB)	PPL	Size (%)	Accuracy (%)	PPL error rate
IQ1_S	417	193.6245	14.13	5.24	1.77149
IQ1_M	443	66.9068	15.01	15.17	0.52878
IQ2_XXS	488	33.3356	16.54	30.45	0.25559
IQ2_XS	525	20.287	17.79	50.04	0.14936
IQ2_S	538	18.2927	18.23	55.49	0.1338
IQ2_M	574	15.4838	19.45	65.56	0.11113
Q2_K_S	611	16.0169	20.7	63.38	0.11623
IQ3_XXS	638	12.3935	21.62	81.91	0.0877
Q2_K	645	14.1657	21.86	71.66	0.10105
IQ3_XS	698	11.7112	23.65	86.68	0.08256
Q3_K_S	726	12.4782	24.6	81.35	0.08842
IQ3_S	728	11.4241	24.67	88.86	0.07977
IQ3_M	741	11.4058	25.11	89	0.07862
Q3_K_M	786	11.3529	26.64	89.42	0.08018
Q3_K_L	840	11.1934	28.46	90.69	0.07913
IQ4_XS	855	10.5302	28.97	96.4	0.07351
IQ4_NL	893	10.5116	30.26	96.57	0.07335
Q4_0	895	10.8217	30.33	93.8	0.07576
Q4_K_S	897	10.5236	30.4	96.46	0.0736
Q4_K_M	941	10.4628	31.89	97.02	0.0731
Q4_1	970	10.51	32.87	96.59	0.07347
Q5_K_S	1048	10.2715	35.51	98.83	0.07148
Q5_0	1051	10.3196	35.62	98.37	0.07212
Q5_K_M	1073	10.2529	36.36	99.01	0.07143
Q5_1	1126	10.2624	38.16	98.92	0.0714
Q6_K	1214	10.203	41.14	99.49	0.07108
Q8_0	1571	10.167	53.24	99.84	0.07068
F16	2951	10.1512	100	100	0.07058

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