lightseekorg/kimi-k2.6-eagle3.1-mla

Model

7

stars

11

commits

3

linked in READMEs

May 26, 2026

updated

kimi_k2
safetensors
Browse cluster: Speculative Decoding for LLM Inference

README

Kimi-K2.6 Eagle3.1 MLA

EAGLE3 draft model for speculative decoding with Kimi-K2.6-NVFP4.

Improved over kimi-k2.6-eagle3-mla with fc_norm and norm_output.

Features

  • fc_norm: Per-chunk RMSNorm on auxiliary hidden states before FC projection
  • norm_output: Uses post-norm hidden states as auxiliary output

Benchmark Results

Target model: nvidia/Kimi-K2.6-NVFP4

3-token draft (num_speculative_tokens=3)

BenchmarkBaseline (k2.6-eagle3-mla)Eagle3.1 (this)Delta
GSM8K3.1913.195+0.004
CEval2.7302.836+0.106
HumanEval3.1923.134-0.058
MATH5003.1833.130-0.053
AIME243.0132.966-0.047
MTBench2.6022.611+0.009
SPEED-Bench (coding)3.0303.013-0.017
SPEED-Bench (math)3.2983.403+0.105
SPEED-Bench (multilingual)2.6032.800+0.197
SPEED-Bench (qa)2.5572.580+0.023
SPEED-Bench (rag)3.0083.045+0.037

Usage with vLLM

vllm serve nvidia/Kimi-K2.6-NVFP4 \
  --trust-remote-code \
  --tensor-parallel-size 4 \
  --tool-call-parser kimi_k2 \
  --enable-auto-tool-choice \
  --reasoning-parser kimi_k2 \
  --attention-backend tokenspeed_mla \
  --speculative-config '{"model":"lightseekorg/kimi-k2.6-eagle3.1-mla","method":"eagle3","num_speculative_tokens":3}' \
  --language-model-only

Note: Requires vLLM with PR #42764 and PR #43482 for fc_norm support.

Contributors

lightseek

11 commits

lightseekorg/kimi-k2.6-eagle3.1-mla

Model

7

stars

11

commits

3

linked in READMEs

May 26, 2026

updated

kimi_k2
safetensors
Browse cluster: Speculative Decoding for LLM Inference

README

Kimi-K2.6 Eagle3.1 MLA

EAGLE3 draft model for speculative decoding with Kimi-K2.6-NVFP4.

Improved over kimi-k2.6-eagle3-mla with fc_norm and norm_output.

Features

  • fc_norm: Per-chunk RMSNorm on auxiliary hidden states before FC projection
  • norm_output: Uses post-norm hidden states as auxiliary output

Benchmark Results

Target model: nvidia/Kimi-K2.6-NVFP4

3-token draft (num_speculative_tokens=3)

BenchmarkBaseline (k2.6-eagle3-mla)Eagle3.1 (this)Delta
GSM8K3.1913.195+0.004
CEval2.7302.836+0.106
HumanEval3.1923.134-0.058
MATH5003.1833.130-0.053
AIME243.0132.966-0.047
MTBench2.6022.611+0.009
SPEED-Bench (coding)3.0303.013-0.017
SPEED-Bench (math)3.2983.403+0.105
SPEED-Bench (multilingual)2.6032.800+0.197
SPEED-Bench (qa)2.5572.580+0.023
SPEED-Bench (rag)3.0083.045+0.037

Usage with vLLM

vllm serve nvidia/Kimi-K2.6-NVFP4 \
  --trust-remote-code \
  --tensor-parallel-size 4 \
  --tool-call-parser kimi_k2 \
  --enable-auto-tool-choice \
  --reasoning-parser kimi_k2 \
  --attention-backend tokenspeed_mla \
  --speculative-config '{"model":"lightseekorg/kimi-k2.6-eagle3.1-mla","method":"eagle3","num_speculative_tokens":3}' \
  --language-model-only

Note: Requires vLLM with PR #42764 and PR #43482 for fc_norm support.

Contributors

lightseek

11 commits