← back to catalog · registered 2026-09-17 04:56

Fbjfhvgv/Qwen2.5-Coder-7B-Instruct-Uncensored-GGUF

Fbjfhvgv 7B GGUF second-order
Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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Model age
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created 2026-09-17

Genealogy 0 direct forks

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Metadata

License
mit
Languages
en
Tags
gguf code chat uncensored en base_model:BlossomsAI/Qwen2.5-Coder-7B-Instruct-Uncensored base_model:quantized:BlossomsAI/Qwen2.5-Coder-7B-Instruct-Uncensored license:mit endpoints_compatible region:us conversational

Related

Total size
38.3 GB
Files
10
Quantizations
1
Registered
2026-09-17 04:56
Last updated on HF
2026-09-17 04:41

Files by quantization

Auxiliary files 10 files 38.3 GB
q8_0.gguf 7.54 GB c508d6de download
q6_k.gguf 5.82 GB 943adfcf download
q5_k_m.gguf 5.07 GB ebc5b013 download
q5_k_s.gguf 4.95 GB 1367aad0 download
q4_k_m.gguf 4.36 GB e6b94e07 download
q4_k_s.gguf 4.15 GB 6b3d0058 download
q3_k_m.gguf 3.55 GB 5d4123f9 download
q2_k.gguf 2.81 GB ddc0a6e3 download
README.md 2.23 KB 5042a636 download
.gitattributes 1.85 KB ce5e3034 download

README current version from Hugging Face


license: mit
language:

  • en
    base_model:
  • BlossomsAI/Qwen2.5-Coder-7B-Instruct-Uncensored
    tags:
  • code
  • chat
  • uncensored

Logo

🚀 Qwen2.5-Coder-7B-Instruct-Uncensored-GGUF

Optimized quantized models for efficient inference

📋 Overview

A collection of optimized GGUF quantized models derived from BlossomsAI/Qwen2.5-Coder-7B-Instruct-Uncensored, providing various performance-quality tradeoffs.

💎 Model Variants

Variant Use Case Download
Q2_K Basic text completion tasks 📥
Q3_K_M Memory-efficient quality operations 📥
Q4_K_S Balanced performance and quality 📥
Q4_K_M Balanced performance and quality 📥
Q5_K_S Enhanced quality text generation 📥
Q5_K_M Enhanced quality text generation 📥
Q6_K Superior quality outputs 📥
Q8_0 Maximum quality, production-grade results 📥

🤝 Contributors

Developed with ❤️ by BlossomAI


Star ⭐️ this repo if you find it valuable!

README history 1 version

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-09-17Duplicate from BlossomsAI/Qwen2.5-Coder-7B-Instruct-Uncensored-GGUF38cfbf22.2 KB
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