Can it run?
Runs well
Using Q6_K in Ollama
Fit status
Runs well
Decode
84.7 tok/s
TTFT
2286 ms
Safe context
20K
Memory
3.2 GB / 4.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | B | Runs well | 57.6 tok/s | 4887 ms | 40K |
| Chat | B | Runs well | 57.6 tok/s | 1833 ms | 10K |
| Coding | B | Runs well | 84.7 tok/s | 2286 ms | 20K |
| RAG | B | Runs well | 57.6 tok/s | 6109 ms | 40K |
| Reasoning | B | Runs well | 57.6 tok/s | 3971 ms | 20K |
How Llama 3.2 1B Instruct Q8 0 (1B params) fits at each quantization level on Intel Arc A370M 4GB (4.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.4 GB | Low | D32 |
Q3_K_S | 3 | 0.5 GB | Low | D32 |
NVFP4 | 4 |
huggingface-cli download hf-hugging-quants--llama-3-2-1b-instruct-q8-0-gguf0.6 GB |
| Medium |
| D33 |
Q4_K_M | 4 | 0.6 GB | Medium | D33 |
Q5_K_M | 5 | 0.7 GB | High | D33 |
Q6_K | 6 | 0.8 GB | High | D34 |
Q8_0Best for your GPU | 8 | 1.1 GB | Very High | D35 |
F16 | 16 | 2.1 GB | Maximum | C41 |