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FireEcho

Text Generation
fireecho
qwen3-omni
inference
triton
quantization
Mixture of Experts
fp4
fp8
int2
single-gpu
blackwell
hebbian
speculative-decoding
custom-kernel
Eval Results (legacy)
4-bit precision
custom_fp4
Model card Files
xet
Community
FireEcho
File size: 3,280 Bytes
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============================================================
  Eval Flow Test (replicates training eval)
============================================================

[1] Loading model...
  [Auto-detect] Qwen3-Omni MoE thinker (30.5B total, ~3.3B active)
[FireEcho] Loading /run/media/echo/Echo/ECHO/training/Prototype Fireecho/model/Qwen3-Omni-30B-A3B-Instruct...
  [FireEcho] AutoConfig failed ('Qwen3OmniMoeTalkerCodePredictorConfig' object has no attribute 'use_sliding_window'), loading config.json directly
  Qwen3-Omni: will stream-load from 15 shards
  [Qwen3 Streaming] Loaded shard index: 28010 keys across 15 shards
  [Qwen3 Streaming] Building engine skeleton...
  [Qwen3 Streaming] Global params on GPU: 1.2 GB
    Layer 4/48: 393 weights, VRAM 2.8 GB, CPU 1.4 GB
    Layer 8/48: 393 weights, VRAM 4.3 GB, CPU 1.6 GB
    Layer 12/48: 393 weights, VRAM 5.8 GB, CPU 1.7 GB
    Layer 16/48: 393 weights, VRAM 7.3 GB, CPU 1.9 GB
    Layer 20/48: 393 weights, VRAM 8.9 GB, CPU 2.0 GB
    Layer 24/48: 393 weights, VRAM 10.4 GB, CPU 2.2 GB
    Layer 28/48: 393 weights, VRAM 11.9 GB, CPU 2.3 GB
    Layer 32/48: 393 weights, VRAM 13.4 GB, CPU 2.5 GB
    Layer 36/48: 393 weights, VRAM 15.0 GB, CPU 2.6 GB
    Layer 40/48: 393 weights, VRAM 16.5 GB, CPU 2.8 GB
    Layer 44/48: 393 weights, VRAM 18.0 GB, CPU 2.9 GB
    Layer 48/48: 393 weights, VRAM 19.5 GB, CPU 3.1 GB
  [Qwen3 Streaming] Final VRAM: 19.5 GB (FP4 quantized)
  [Qwen3 Streaming] Done: 1571.8M params, 18867 weights loaded
  Total params:     1.57B
  Frozen params:    1.54B (base model, FP4)
  Trainable params: 30.2M (Hebbian only)
  [Flat KV] Enabled: 4096 tokens, 403 MB
  [Packed MoE] 48 layers packed (6144 experts → contiguous)

[2] Enabling EAGLE (no checkpoint)...
  [FE-XT] Draft head: D=8, 356.5M params, 713 MB, capture layers [8, 24, 47] + Hebbian memory

[3] Loading checkpoint separately (like training script)...
  [EAGLE] Loaded legacy D=2 checkpoint. 54 new layer params initialized randomly.
  Loaded checkpoint (step 4000)
  VRAM: 21.25 GB

[4a] Running manual speculation test WITHOUT warmup...

--- Manual speculation test ---
  Prefill logits: has_nan=True
  FATAL: NaN in prefill! Cannot continue.

[4b] Warmup (3x generate)...
  Warmup done

[4c] Running manual speculation test AFTER warmup...

--- Manual speculation test ---
  Prefill logits: has_nan=True
  FATAL: NaN in prefill! Cannot continue.

[5] Running full speculative_generate eval...
  [EAGLE-3] 9 rounds, 43 drafted, 43 accepted (100%), avg 4.8/round

  Prompt 0: 61 tokens, 21.3 tok/s
  Output: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
  WARNING: All tokens are the same (0) — likely NaN bug!
  [EAGLE-3] 9 rounds, 43 drafted, 43 accepted (100%), avg 4.8/round

  Prompt 1: 61 tokens, 32.5 tok/s
  Output: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
  WARNING: All tokens are the same (0) — likely NaN bug!
  [EAGLE-3] 9 rounds, 43 drafted, 43 accepted (100%), avg 4.8/round

  Prompt 2: 61 tokens, 31.7 tok/s
  Output: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
  WARNING: All tokens are the same (0) — likely NaN bug!

============================================================
  Done
============================================================