Files
nvfp4-megamoe-kernel/reference/official_inference/config.json
biondizzle ca7c309463 Add reference/ dir: vLLM tokenizers, reasoning parsers, tool parsers, official inference
- reference/vllm/tokenizers/ — official DSV4 tokenizer + encoding (read-only)
- reference/vllm/reasoning/ — thinking mode parsers (DeepSeekR1 style )
- reference/vllm/tool_parsers/ — DSML tool call parsers (V3.2 base, V4 variant)
- reference/official_inference/ — original weight's generate.py, model.py, kernel.py
- reference/README.md documents the layout and which files matter for our pipeline
- These are read-only references for cross-checking, not imported by production code
2026-06-03 10:25:23 +00:00

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{
"vocab_size": 129280,
"dim": 7168,
"moe_inter_dim": 3072,
"n_layers": 61,
"n_hash_layers": 3,
"n_heads": 128,
"n_routed_experts": 384,
"n_shared_experts": 1,
"n_activated_experts": 6,
"score_func": "sqrtsoftplus",
"route_scale": 2.5,
"swiglu_limit": 10.0,
"q_lora_rank": 1536,
"head_dim": 512,
"rope_head_dim": 64,
"o_groups": 16,
"o_lora_rank": 1024,
"window_size": 128,
"original_seq_len": 65536,
"rope_theta": 10000,
"rope_factor": 16,
"beta_fast": 32,
"beta_slow": 1,
"index_n_heads": 64,
"index_head_dim": 128,
"index_topk": 1024,
"hc_mult": 4,
"hc_sinkhorn_iters": 20,
"dtype": "fp8",
"scale_fmt": "ue8m0",
"expert_dtype": "fp4",
"compress_rope_theta": 160000,
"compress_ratios": [128, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 128, 4, 0]
}