GraySoft
Projects Models Compare Cloud benchmarks FAQ Download guIDE →
Model Intelligence Sheet

creekhop/Qwen3.8-27B-0.9-Qwen3.6-27B-0.1-GGUF overview

Qwen3.8 27B 0.9 Qwen3.6 27B 0.1 GGUF GGUF quantizations of: vvsotnikov/Qwen3.8 27B 0.9 Qwen3.6 27B 0.1 https://huggingface.co/vvsotnikov/Qwen3.8 27B 0.9 Qwen3.…

llama.cppggufqwenquantizedvvsotnikovQwen3.8-27B-0.9-Qwen3.6-27B-0.1base_model:vvsotnikov/Qwen3.8-27B-0.9-Qwen3.6-27B-0.1base_model:quantized:vvsotnikov/Qwen3.8-27B-0.9-Qwen3.6-27B-0.1license:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~15.02 GB disk (16 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
0
Likes
0
Pipeline
Author

Repository Files & Downloads

6 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Qwen3.8-27B-0.9-Qwen3.6-27B-0.1-BF16.ggufGGUFBF1650.90 GBDownload
Qwen3.8-27B-0.9-Qwen3.6-27B-0.1-IQ4_NL.ggufGGUFIQ4_NL15.02 GBDownload
Qwen3.8-27B-0.9-Qwen3.6-27B-0.1-Q4_K_M.ggufGGUFQ4_K_M15.66 GBDownload
Qwen3.8-27B-0.9-Qwen3.6-27B-0.1-Q5_K_M.ggufGGUFQ5_K_M18.19 GBDownload
Qwen3.8-27B-0.9-Qwen3.6-27B-0.1-Q6_K.ggufGGUFQ6_K20.89 GBDownload
Qwen3.8-27B-0.9-Qwen3.6-27B-0.1-Q8_0.ggufGGUFQ8_027.05 GBDownload

Model Details

Model IDcreekhop/Qwen3.8-27B-0.9-Qwen3.6-27B-0.1-GGUF
Authorcreekhop
Pipeline
Licenseapache-2.0
Base modelvvsotnikov/Qwen3.8-27B-0.9-Qwen3.6-27B-0.1
Last modified2026-08-24T19:47:42.000Z

Model README

---

license: apache-2.0

base_model:

  • vvsotnikov/Qwen3.8-27B-0.9-Qwen3.6-27B-0.1

base_model_relation: quantized

library_name: llama.cpp

tags:

  • gguf
  • qwen
  • llama.cpp
  • quantized
  • vvsotnikov
  • Qwen3.8-27B-0.9-Qwen3.6-27B-0.1

---

Qwen3.8-27B-0.9-Qwen3.6-27B-0.1-GGUF

GGUF quantizations of:

vvsotnikov/Qwen3.8-27B-0.9-Qwen3.6-27B-0.1

Source Model Card

Qwen3.8-27B 0.9 + Qwen3.6-27B 0.1

This checkpoint is a direct linear interpolation of the complete upstream

checkpoints:

merged = 0.1 * Qwen/Qwen3.6-27B + 0.9 * Qwen/Qwen3.8-27B

Merge details

  • Method: element-wise linear interpolation in float32, cast to the original

bfloat16 dtype after each tensor is merged

  • Tensors merged: 1,199, including the embedded mtp.* drafter

tensors and vision tower

  • Shard layout, configuration, tokenizer, processor, and chat template:

Qwen/Qwen3.8-27B

  • Qwen/Qwen3.6-27B revision: 6a9e13bd6fc8f0983b9b99948120bc37f49c13e9
  • Qwen/Qwen3.8-27B revision: 1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0
  • Quantization: none

The two source checkpoints have identical tensor names, shapes, dtypes, and

model configuration; their configs differ only in the recorded Transformers

version. The newer Qwen/Qwen3.8-27B non-weight files are used because it has the

larger merge coefficient.

License and use

Both source checkpoints are Apache-2.0. Their upstream model cards describe

capabilities, limitations, and the expected qwen3_5 runtime support.

Run creekhop/Qwen3.8-27B-0.9-Qwen3.6-27B-0.1-GGUF with guIDE

Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.

Download guIDE → · Browse 524k+ models · Compare models

Source: Hugging Face · Compare models