Best Granite 4.2 8B quant for your GPU
8 quantized files of ibm-granite/granite-4.2-8b (8.79B), each diffed against the BF16 original.
ibm-granite/granite-4.2-8b (Apache-2.0). Dense 40-layer transformer with grouped-query attention (8 KV heads). Measured here: on the 60 parallel and parallel_multiple tool-call cases it emits only one call per turn, so all 8 quants scored 0 to 2 of 60 there (Q8_0: 0/60, bartowski Q4_K_M: 1/60), even with parallel_tool_calls=true. Its total tool-call score is 60.5 to 62.5% vs 82 to 92.5% for Qwen3.5 9B.
Recommendation by VRAM
"Best" = smallest diff (lowest mean KLD) among files that fit fully on the GPU (file + 8192-token KV cache), with tool-call score as tie-breaker.
8GB GPU
- File size
- 5.16 GB
- KLD (mean)
- 0.0729
- Same top token
- 91.0%
- Tool calls
- 62.5%
- Generation
- 102 t/s full GPU
Fastest that fits: Q2_K (bartowski, 146 t/s, KLD 0.4598)
12GB GPU
- File size
- 8.70 GB
- KLD (mean)
- 0.0082
- Same top token
- 97.8%
- Tool calls
- 61.0%
- Generation
- 65 t/s full GPU
Fastest that fits: Q2_K (bartowski, 146 t/s, KLD 0.4598)
16GB GPU
- File size
- 8.70 GB
- KLD (mean)
- 0.0082
- Same top token
- 97.8%
- Tool calls
- 61.0%
- Generation
- 65 t/s full GPU
Fastest that fits: Q2_K (bartowski, 146 t/s, KLD 0.4598)
All Granite 4.2 8B quants
| Quant | Publisher | Size | Fits | KLD mean | Same top | Tool calls | Gen t/s | Run |
|---|---|---|---|---|---|---|---|---|
| Q8_0 | bartowski imatrix | 8.70 GB | 12GB+ | 0.0082 | 97.8% | 61.0% | 65 | settings & logs |
| Q6_K | bartowski imatrix | 7.00 GB | 12GB+ | 0.0136 | 96.2% | 60.5% | 78 | settings & logs |
| Q5_K_M | mradermacher | 5.82 GB | 12GB+ | 0.0579 | 92.1% | 62.5% | 92 | settings & logs |
| Q4_K_M | bartowski imatrix | 5.16 GB | 8GB+ | 0.0729 | 91.0% | 62.5% | 102 | settings & logs |
| IQ4_XS | bartowski imatrix | 4.60 GB | 8GB+ | 0.0846 | 89.5% | 62.5% | 113 | settings & logs |
| i1-Q4_K_M | mradermacher imatrix | 4.98 GB | 8GB+ | 0.0856 | 90.2% | 60.5% | 105 | settings & logs |
| IQ3_M | bartowski imatrix | 3.95 GB | 8GB+ | 0.2233 | 82.9% | 60.5% | 120 | settings & logs |
| Q2_K | bartowski imatrix | 3.33 GB | 8GB+ | 0.4598 | 75.0% | 61.0% | 146 | settings & logs |
GB = GiB (1024³ bytes). Speeds from llama-bench on Ghost (RTX 5070 12GB, Ryzen 7 5800X, 64GB DDR4). On a different GPU, expect generation speed to scale roughly with memory bandwidth.
GPU too small? Rent one.
Run a 32B model at Q6/Q8, or a 70B, on a cloud GPU for an hour or two instead of buying hardware.
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