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ChatMDE/Qwen3.5-4B-ChatMDE-v1.0-GGUF overview

Qwen3.5 4B ChatMDE v1.0 GGUF GGUF builds of ChatMDE v1.0 , a persona fine tune of Qwen/Qwen3.5 4B https://huggingface.co/Qwen/Qwen3.5 4B . A LoRA rank 32 was t…

ggufllama-cppqwen3.5conversationalpersonaimatrixtext-generationbase_model:Qwen/Qwen3.5-4Bbase_model:quantized:Qwen/Qwen3.5-4Blicense:apache-2.0endpoints_compatibleregion:us

Runs locally from ~1.78 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
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Likes
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Pipeline
text-generation
Author

Repository Files & Downloads

3 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Qwen3.5-4B-ChatMDE-v1.0-Q2_K.ggufGGUFQ2_K1.78 GBDownload
Qwen3.5-4B-ChatMDE-v1.0-Q4_K_M.ggufGGUFQ4_K_M2.52 GBDownload
Qwen3.5-4B-ChatMDE-v1.0-Q6_K.ggufGGUFQ6_K3.23 GBDownload

Model Details

Model IDChatMDE/Qwen3.5-4B-ChatMDE-v1.0-GGUF
AuthorChatMDE
Pipelinetext-generation
Licenseapache-2.0
Base modelQwen/Qwen3.5-4B
Last modified2026-07-03T09:27:24.000Z

Model README

---

base_model: Qwen/Qwen3.5-4B

pipeline_tag: text-generation

library_name: gguf

license: apache-2.0

tags:

  • gguf
  • llama-cpp
  • qwen3.5
  • conversational
  • persona
  • imatrix

---

Qwen3.5-4B-ChatMDE-v1.0 (GGUF)

GGUF builds of ChatMDE v1.0, a persona fine-tune of

Qwen/Qwen3.5-4B. A LoRA (rank 32) was trained on

chat-formatted multi-turn conversations derived from public web-forum threads, merged into the

base, and quantized for CPU inference with llama.cpp.

Text-only. These are language-model GGUFs (converted --no-mtp); no vision/mmproj.

Run (CPU)

# llama.cpp server
llama-server -m Qwen3.5-4B-ChatMDE-v1.0-Q4_K_M.gguf --jinja -c 4096

# or llama-cpp-python
from llama_cpp import Llama
llm = Llama(model_path="Qwen3.5-4B-ChatMDE-v1.0-Q4_K_M.gguf", n_ctx=4096, n_threads=4)
  • ChatML prompt format. The base is a reasoning model — disable thinking for direct replies

(--reasoning-budget 0 / an empty <think></think> block) unless you want the chain-of-thought.

  • Trained ~50/50 with and without a system prompt, so it works either way.

Notes & intended use

Stylized persona model for casual/creative chat and research. It is irreverent by design, can be

sarcastic or off-color, and is not a factual assistant — do not rely on it for accurate

information. Weights are Apache-2.0; use is also subject to the Qwen/Qwen3.5-4B base license.

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