MiniMax-M3 EAGLE3 drafter โ RTN INT4
EAGLE3 speculative-decoding draft head for
Sebesky/MiniMax-M3-W4A16-GPTQ:
a single Llama-style decoder layer (hidden 6144, 64-head full MHA, head_dim 128)
with its own embed_tokens and lm_head (vocab 200,064) โ not shared with
the target. Everything is RTN-quantized to int4 (compressed-tensors
pack-quantized, group 128): Linear, embedding, and lm_head. ~1.6 GB.
Usage (vLLM)
--speculative-config '{"method":"eagle3","model":"Sebesky/MiniMax-M3-EAGLE3-RTN-INT4","num_speculative_tokens":3}'
Validated on 2x DGX Spark (GB10) at TP2 with draft_tensor_parallel_size: 2:
acceptance length 3.36 (78.6% draft acceptance) at 120k-token context,
decode 39.7 / 30.4 / 26.4 tok/s @512/65k/120k with 4-bit KV quantization.
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Model tree for Sebesky/MiniMax-M3-EAGLE3-RTN-INT4
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MiniMaxAI/Minimax-M3-preview Finetuned
Inferact/MiniMax-M3-EAGLE3