WaveCut/Qwen3.6-35B-A3B-REAM-160-ru-agent-GGUF overview
Qwen3.6 35B A3B REAM 160 ru agent GGUF GGUF quantizations of WaveCut/Qwen3.6 35B A3B REAM 160 ru agent https://huggingface.co/WaveCut/Qwen3.6 35B A3B REAM 160 …
Runs locally from ~3.88 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Qwen3.6-35B-A3B-REAM-160-ru-agent-BF16.gguf | GGUF | BF16 | 43.09 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-IQ1_M.gguf | GGUF | IQ1_M | 5.69 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-IQ1_S.gguf | GGUF | IQ1_S | 5.24 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-IQ2_M.gguf | GGUF | IQ2_M | 7.73 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-IQ2_S.gguf | GGUF | IQ2_S | 7.14 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-IQ2_XS.gguf | GGUF | IQ2_XS | 7.03 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-IQ2_XXS.gguf | GGUF | IQ2_XXS | 6.43 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-IQ3_M.gguf | GGUF | IQ3_M | 9.99 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-IQ3_S.gguf | GGUF | IQ3_S | 9.88 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-IQ3_XS.gguf | GGUF | IQ3_XS | 9.43 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-IQ3_XXS.gguf | GGUF | IQ3_XXS | 8.89 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-IQ4_NL.gguf | GGUF | IQ4_NL | 12.60 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-IQ4_XS.gguf | GGUF | IQ4_XS | 11.97 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-MXFP4_MOE.gguf | GGUF | GGUF | 12.96 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-Q1_0.gguf | GGUF | Q1_0 | 3.88 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-Q2_K.gguf | GGUF | Q2_K | 8.49 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-Q2_K_S.gguf | GGUF | Q2_K_S | 8.02 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-Q3_K_L.gguf | GGUF | Q3_K_L | 11.58 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-Q3_K_M.gguf | GGUF | Q3_K_M | 10.77 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-Q3_K_S.gguf | GGUF | Q3_K_S | 9.81 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-Q4_0.gguf | GGUF | Q4_0 | 12.59 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-Q4_1.gguf | GGUF | Q4_1 | 13.82 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-Q4_K_M.gguf | GGUF | Q4_K_M | 13.41 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-Q4_K_S.gguf | GGUF | Q4_K_S | 12.65 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-Q5_0.gguf | GGUF | Q5_0 | 15.16 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-Q5_1.gguf | GGUF | Q5_1 | 16.39 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-Q5_K_M.gguf | GGUF | Q5_K_M | 15.56 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-Q5_K_S.gguf | GGUF | Q5_K_S | 15.11 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-Q6_K.gguf | GGUF | Q6_K | 17.84 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-Q8_0.gguf | GGUF | Q8_0 | 22.92 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-WC-Q3_K_XL.gguf | GGUF | Q3_K_XL | 11.29 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-WC-Q4_K_XL.gguf | GGUF | Q4_K_XL | 13.84 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-WC-Q5_K_XL.gguf | GGUF | Q5_K_XL | 15.90 GB | Download |
| Qwen3.6-35B-A3B-REAM-160-ru-agent-WC-Q6_K_XL.gguf | GGUF | Q6_K_XL | 18.08 GB | Download |
Model Details
Model README
---
library_name: llama.cpp
base_model: WaveCut/Qwen3.6-35B-A3B-REAM-160-ru-agent
tags:
- gguf
- qwen3.6
- moe
- ream
- mtp
- imatrix
- mixed-precision
---
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_0attn_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.
| quant | RU same_top | agent same_top | code same_top | math same_top | mixed same_top |
| --- | ---: | ---: | ---: | ---: | ---: |
| Q3_K_M | 86.561 | 87.194 | 96.250 | 95.711 | 90.809 |
| WC-Q3_K_XL | 87.632 | 88.039 | 96.275 | 96.066 | 91.275 |
| Q4_K_M | 92.323 | 92.267 | 97.451 | 97.365 | 94.338 |
| WC-Q4_K_XL | 92.881 | 93.309 | 97.880 | 97.684 | 94.926 |
| MXFP4_MOE | 91.041 | 92.463 | 97.500 | 97.537 | 94.203 |
| Q5_K_M | 93.801 | 93.958 | 98.100 | 97.929 | 95.539 |
| WC-Q5_K_XL | 94.284 | 94.154 | 98.113 | 98.407 | 96.054 |
| Q6_K | 95.566 | 95.429 | 98.517 | 98.407 | 96.507 |
| WC-Q6_K_XL | 95.566 | 95.527 | 98.689 | 98.358 | 96.728 |
| Q8_0 | 96.259 | 96.311 | 98.799 | 98.738 | 97.353 |
Practical starting points:
- Lowest size:
Q3_K_MorWC-Q3_K_XL. - Balanced RU/agent quality:
WC-Q4_K_XLorWC-Q5_K_XL. - Conservative high quality:
Q6_K,WC-Q6_K_XL, orQ8_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.cppcommit8452824611be321246f33339727f60a90c02c277- BF16 combined GGUF with MTP preserved
- agent/RU/code/math calibration and imatrix
masks/mtp-q8.txtfor standard quantizationmasks/wc-xl.txtfor mixed precision candidates
See RECIPE.md, manifests/, stats/, quality/, and logs/ for the full
audit trail.
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