CoolFace
Modelpublic

WaveCut/Qwen3.6-35B-A3B-REAM-160-ru-agent-GGUF

sourceHugging Faceupdated 3mo agoView on Hugging Face
10likes3.8kdownloads
Model Card

Qwen3.6-35B-A3B-REAM-160-ru-agent-GGUF

GGUF quantizations of `WaveCut/Qwen3.6-35B-A3B-REAM-160-ru-agent`.

All release GGUF files are produced and smoke-tested with clean upstream `ggml-org/llama.cpp` at commit 8452824611be321246f33339727f60a90c02c277 (b9739-845282461). Runtime forks are not required.

Source

  • —Source checkpoint dtype: BF16
  • —Full precision GGUF baseline: BF16 only
  • —Source parameters: 23,562,176,368 BF16 parameters
  • —Main MoE experts: 160
  • —MTP/NextN MoE experts: 160

Release Files

Release candidates that passed upstream llama-cli smoke:

  • —Standard: Q1_0, IQ1_S, IQ1_M, Q2_K, Q2_K_S, IQ2_XXS, IQ2_XS, IQ2_S, IQ2_M, Q3_K_S, Q3_K_M, Q3_K_L, IQ3_XXS, IQ3_XS, IQ3_S, IQ3_M, Q4_0, Q4_1, Q4_K_S, Q4_K_M, IQ4_NL, IQ4_XS, MXFP4_MOE, Q5_0, Q5_1, Q5_K_S, Q5_K_M, Q6_K, Q8_0.
  • —Mixed precision: WC-Q3_K_XL, WC-Q4_K_XL, WC-Q5_K_XL, WC-Q6_K_XL.

Excluded: TQ1_0 and TQ2_0 were generated but failed upstream smoke and are not release files.

Per-file size and SHA256 are recorded in manifests/gguf-*.json.

Mixed Precision Recipe

WC-Q*_K_XL files are upstream-compatible GGUF files produced with llama-quantize --tensor-type-file masks/wc-xl.txt.

The mask keeps sensitive tensors at higher precision:

  • —token_embd, output, ffn_gate_inp: q8_0
  • —attn_q, attn_k, attn_v, ffn_down: q6_K
  • —MTP/NextN tensors and blk.40.*: q8_0

The base quant type remains standard upstream (Q3_K_M, Q4_K_M, Q5_K_M, or Q6_K), so no custom runtime is required.

Quality

Primary metric: KL divergence against the BF16 GGUF baseline using llama-perplexity --kl-divergence. The raw llama.cpp logs report values very close to zero for this short held-out run, so the table below shows the more interpretable same_top percentage from the same logs. Full logs and parsed rows are in quality/ and stats/quality_summary.json.

quantRU same_topagent same_topcode same_topmath same_topmixed same_top
Q3KM86.56187.19496.25095.71190.809
WC-Q3KXL87.63288.03996.27596.06691.275
Q4KM92.32392.26797.45197.36594.338
WC-Q4KXL92.88193.30997.88097.68494.926
MXFP4_MOE91.04192.46397.50097.53794.203
Q5KM93.80193.95898.10097.92995.539
WC-Q5KXL94.28494.15498.11398.40796.054
Q6_K95.56695.42998.51798.40796.507
WC-Q6KXL95.56695.52798.68998.35896.728
Q8_096.25996.31198.79998.73897.353

Practical starting points:

  • —Lowest size: Q3_K_M or WC-Q3_K_XL.
  • —Balanced RU/agent quality: WC-Q4_K_XL or WC-Q5_K_XL.
  • —Conservative high quality: Q6_K, WC-Q6_K_XL, or Q8_0.

MTP / NextN Status

MTP/NextN tensors are structurally preserved in the combined GGUF files, and manifests/gguf-*.json confirms the Qwen35MoE/NextN metadata.

Runtime MTP/speculative support is not claimed for this release. Upstream llama-speculative smoke failed for both split draft and combined self-draft forms:

  • —split trunk/draft exit code: 139
  • —combined self-draft exit code: 139

The exact result is recorded in stats/mtp_smoke.json.

Reproducibility

The build used:

  • —llama.cpp commit 8452824611be321246f33339727f60a90c02c277
  • —BF16 combined GGUF with MTP preserved
  • —agent/RU/code/math calibration and imatrix
  • —masks/mtp-q8.txt for standard quantization
  • —masks/wc-xl.txt for mixed precision candidates

See RECIPE.md, manifests/, stats/, quality/, and logs/ for the full audit trail.