Qwen3.8-27B-NVFP4 / qualification-criteria.json
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Qwen3.8-27B NVFP4 (W4A4, group size 16) quantized with NVIDIA Model Optimizer
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{
"dataset": {
"examples": 1319,
"harness": "sgl-eval",
"name": "gsm8k",
"revision": "6690895609dcbc5df1e7b00dd57c9502b868ec4d"
},
"gates": {
"empty_generations": 0,
"maximum_request_errors": 0,
"maximum_truncations": 0,
"minimum_accuracy": 0.965,
"minimum_mtp_acceptance_length": 1.0,
"stop_rate": 1.0,
"target_oom_kills": 0
},
"runtime": {
"cuda_graph_max_batch_size": 64,
"kv_cache_dtype": "fp8_e4m3",
"mamba_radix_cache_strategy": "extra_buffer",
"memory_fraction_static": 0.75,
"modelopt_loader": "modelopt_fp4",
"resolved_backends": "automatic",
"sglang_revision": "29481685462732237d80d86076d6563e1f658102",
"speculative_algorithm": "NEXTN",
"speculative_draft_tokens": 4,
"speculative_num_steps": 3,
"speculative_topk": 1,
"tensor_parallel_size": 4
},
"sampling": {
"min_p": 0.0,
"presence_penalty": 0.0,
"repetition_penalty": 1.0,
"temperature": 1.0,
"thinking": true,
"top_k": 20,
"top_p": 0.95
},
"smoke": {
"exact_answer": "5",
"finite_logprobs": true,
"finish_reason": "stop"
}
}