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superstar/albedo-qwen3.6-35b-miner-9967b27d

sha256:fba0e3e1b7c29e165177e9293f09c66b725ce6136e2e87a645b38d63ab71a6d3·Indexed 6d ago

Parameters

34.7B

Total size

64.6 GB

Files

30

Quantization

BF16

README.md

738 B

albedo-qwen3.6-35b-v65-econsft-ck1 (private backup)

Economy-SFT candidate that beat live king v65 in local validator-faithful eval.

  • Base: v64 (topper/albedo-qwen3.6-35b-albedo-13) hf-text; v65 = v64 + ~1.25% noise, so ≈ training-the-king.
  • Method: SFT-only on economical judge-winners (batch-1; TRL DPO is broken on this arch).
  • Local score vs v65: 0.5386 (WON, ≥0.53) on v65 coronation categories af90515f.
    • Lanes: GLM 0.5386 / Qwen 0.4974 / DeepSeek 0.5684 (economy lifts the DeepSeek decisiveness lane).
  • Format: Qwen3_5MoeForConditionalGeneration (packed, submission/eval format).
  • NOT yet on-chain submitted. Backup only.

Model architecture

config.json
Architecture
Qwen3_5MoeForConditionalGeneration
Model type
qwen3_5_moe
Hidden size
2,048
Layers
40
Attention heads
16 (2 kv)
Vocab size
248,320
Context window
256K
Dtype
bfloat16

Files

30 items

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  • model-00021-of-00021.safetensors

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  • tokenizer.json

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  • model.safetensors.index.json

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  • config.json

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  • tokenizer_config.json

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  • README.md

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  • preprocessor_config.json

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  • video_preprocessor_config.json

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  • chat_template.jinja

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  • generation_config.json

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