← back to catalog · registered 2026-08-22 13:56

featherless-ai-quants/Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-GGUF

featherless-ai-quants Qwen 7B GGUF second-order 33K ctx
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/featherless-ai-quants%2FGoekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-GGUF"
Response includes
  • classification m8
  • files 14
  • benchmarks 5 entries
  • hub_downloads_all_time 2,823
  • author_summary 73 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
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.

What is a refusal direction? →
Downloads · lifetime
3K
435 last 30d - stable
Likes
0
Model age
18mo ago
created 2025-03-22
Downloads over time
Now2.9K→from288↑911%
1571.2K2.2K3.2K288 on Mar 19, 20252.9K on Oct 11Mar '25Jun '25Sep '25Dec '25MarJunSep
Mar 19, 2025 → Oct 11 · 121 snapshots · spans 571 days

Benchmarks

Benchmark Score Source
BBH average 0.4837203268906473 OpenLLM-v2
IFEval instruct 0.8141486810551559 OpenLLM-v2
IFEval-Prompt 0.7486136783733827 OpenLLM-v2
MATH lvl 5 0 OpenLLM-v2
MMLU-Pro 0.4119847074468085 OpenLLM-v2

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Metadata

Quantizations
IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
gguf text-generation base_model:Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 base_model:quantized:Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 endpoints_compatible region:us conversational

Related

Total size
49.3 GB
Files
14
Quantizations
8
Registered
2026-08-22 13:56
Last updated on HF
2025-03-22 12:38

Files by quantization

Q8_0 1 file 7.54 GB
Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-Q8_0.gguf 7.54 GB 63c66e02 download
Q6_K 1 file 5.82 GB
Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-Q6_K.gguf 5.82 GB 26675c8a download
Q5_K 2 files 10.0 GB
Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-Q5_K_M.gguf 5.07 GB ad641565 download
Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-Q5_K_S.gguf 4.95 GB 5403e727 download
Q4_K 2 files 8.51 GB
Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-Q4_K_M.gguf 4.36 GB 1ae84052 download
Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-Q4_K_S.gguf 4.15 GB dd783fae download
IQ4 1 file 3.96 GB
Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-IQ4_XS.gguf 3.96 GB 9dcafbfb download
Q3_K 3 files 10.6 GB
Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-Q3_K_L.gguf 3.81 GB ce6c3fd2 download
Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-Q3_K_M.gguf 3.55 GB 322f6c98 download
Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-Q3_K_S.gguf 3.25 GB 235b59df download
Q2_K 1 file 2.81 GB
Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-Q2_K.gguf 2.81 GB 7b31a1d8 download
Auxiliary files 3 files 1.55 MB
featherless-quants.png 1.54 MB 2e1b4d66 download
README.md 4.29 KB 9ca32cb2 download
.gitattributes 2.73 KB 2b5b5e3e download

README current version from Hugging Face


base_model: Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2
pipeline_tag: text-generation
quantized_by: featherless-ai-quants

Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 GGUF Quantizations 🚀

Featherless AI Quants

Optimized GGUF quantization files for enhanced model performance

Powered by Featherless AI - run any model you'd like for a simple small fee.


Available Quantizations 📊

Quantization Type File Size
IQ4_XS Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-IQ4_XS.gguf 4053.40 MB
Q2_K Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-Q2_K.gguf 2876.23 MB
Q3_K_L Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-Q3_K_L.gguf 3899.06 MB
Q3_K_M Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-Q3_K_M.gguf 3631.97 MB
Q3_K_S Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-Q3_K_S.gguf 3330.58 MB
Q4_K_M Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-Q4_K_M.gguf 4466.13 MB
Q4_K_S Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-Q4_K_S.gguf 4251.26 MB
Q5_K_M Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-Q5_K_M.gguf 5192.60 MB
Q5_K_S Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-Q5_K_S.gguf 5068.95 MB
Q6_K Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-Q6_K.gguf 5964.47 MB
Q8_0 Goekdeniz-Guelmez-Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-Q8_0.gguf 7723.36 MB

⚡ Powered by Featherless AI

Key Features

  • 🔥 Instant Hosting - Deploy any Llama model on HuggingFace instantly
  • 🛠️ Zero Infrastructure - No server setup or maintenance required
  • 📚 Vast Compatibility - Support for 2400+ models and counting
  • 💎 Affordable Pricing - Starting at just $10/month

Links:
Get Started | Documentation | Models

README history 1 version

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

  1. 2025-03-22Upload folder using huggingface_hubbeb0afb4.3 KB
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration