Qwen3.8 Flash on 12GB VRAM - 15 tokens/s
Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.
Achieved steady 15 tokens/second output and 100-120 promp processing per second with 12GB GPU (RTX 5070 SFF) with Qwen3.8-Flash-Next-GSQ-RCO-GGUF at 3 bpw (IQ3_XXS which maches BF16 on AIME25). Around 76GB full gguf - while only 47GB needs to be sharded (loaded into VRAM+RAM) rest is done in SSD.
Output quality is really good - under my tests it matches Unsloth’s Q6-Q8 level.
Hardware:
64GB DDR5 (5600)
12GB - RTX 5070 SFF Gigabyte
1TB NVME
Ryzen 5 7600 CPU
Outputs and results:
| Server startup | 4.9s |
| Cold launch → 1K prompt | 31.7s** |
| **1K generation | 13.8 tokens/s |
| 8K generation | 14.6 tokens/s |
| 20K prompt processing | 104.7 tokens/s |
| 20K wait before output | 3,11min |
| 20K generation | 14.0 tokens/s |
| 90–100K generation | 11.3 tokens/s |
128K max context length in my testing.
Use FreeToken CLI with llama.
Testing 2.40bpw version soon which should be equivalent to NVFP4 - Q4 quants and keep you posted.
If anyone runs similar things let me know your experiences.
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