base_model: Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2
Pull Q4_K_M from Ollama:
ollama run goekdenizguelmez/JOSIEFIED-Qwen2.5:7b
Pull Q8 from Ollama:
ollama run goekdenizguelmez/JOSIEFIED-Qwen2.5:7b-q8_0
Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-gguf
Your rig
guess connected
? Why do I need an app?
The browser can't see your hardware
For privacy reasons a browser tells us at most "≥ 8 GB RAM, 8 cores" - same reading whether you have 8 GB or 128 GB. It has no idea how much RAM is free right now, which apps are open, or whether you have a GPU.
The Abliteration app is integrated with your machine
It reads your exact RAM, GPU model and VRAM, free memory right now, and picks the sharpest quant that still fits. Every model page lights up precisely for your rig.
And you can chat with any model, right now
The app is a full local runtime - no API keys, no subscription, everything runs on your machine. Click any model on this site and start a conversation in seconds.
Get the free 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/Goekdeniz-Guelmez%2FJosiefied-Qwen2.5-7B-Instruct-abliterated-v2-gguf" Response includes
- classification m8
- files 24
- benchmarks 5 entries
- hub_downloads_all_time 21,567
- author_summary 44 models
- readme_text full
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
22K
2K last 30d
- cooling
Likes
10
Model age
2.1y ago
created 2024-09-20
Downloads over time
Sep 18, 2024 → Oct 11 · 152 snapshots · spans 753 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
Full fork graph →This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.
Variants by this author
The same weights this author released in different packaging. Pick the format that matches your runtime.
- Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-gguf (this)
- Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2
Metadata
Related
Source huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-gguf ↗ Base model Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 →
Files by quantization
F16 1 file 14.2 GB - ★ recommended for you
| josiefied-qwen2.5-7b-instruct-abliterated-v2.fp16.bin | 14.2 GB | a3ff0f20 | download |
Q8_0 1 file 7.54 GB - ★ recommended for you
| josiefied-qwen2.5-7b-instruct-abliterated-v2.Q8_0.gguf | 7.54 GB | 3ebd6dc0 | download |
Q6_K 1 file 5.82 GB - ★ recommended for you
| josiefied-qwen2.5-7b-instruct-abliterated-v2.Q6_K.gguf | 5.82 GB | fe629d43 | download |
Q5 2 files 10.3 GB - ★ recommended for you
| josiefied-qwen2.5-7b-instruct-abliterated-v2.Q5_1.gguf | 5.36 GB | 24baf6c9 | download |
| josiefied-qwen2.5-7b-instruct-abliterated-v2.Q5_0.gguf | 4.95 GB | d474a9b9 | download |
Q5_K 2 files 10.0 GB - ★ recommended for you
| josiefied-qwen2.5-7b-instruct-abliterated-v2.Q5_K_M.gguf | 5.07 GB | d13a2344 | download |
| josiefied-qwen2.5-7b-instruct-abliterated-v2.Q5_K_S.gguf | 4.95 GB | e53a3f05 | download |
Q4 5 files 21.0 GB - ★ recommended for you
| josiefied-qwen2.5-7b-instruct-abliterated-v2.Q4_1.gguf | 4.54 GB | 390f1f92 | download |
| josiefied-qwen2.5-7b-instruct-abliterated-v2.Q4_0.gguf | 4.13 GB | 5634dc7f | download |
| josiefied-qwen2.5-7b-instruct-abliterated-v2.Q4_0_4_4.gguf | 4.13 GB | bff3337c | download |
| josiefied-qwen2.5-7b-instruct-abliterated-v2.Q4_0_4_8.gguf | 4.13 GB | 0e7a4500 | download |
| josiefied-qwen2.5-7b-instruct-abliterated-v2.Q4_0_8_8.gguf | 4.13 GB | 52fb5895 | download |
Q4_K 2 files 8.51 GB - ★ recommended for you
| josiefied-qwen2.5-7b-instruct-abliterated-v2.Q4_K_M.gguf | 4.36 GB | 8d55d9b7 | download |
| josiefied-qwen2.5-7b-instruct-abliterated-v2.Q4_K_S.gguf | 4.15 GB | 6d42e180 | download |
IQ4 1 file 3.96 GB - ★ recommended for you
| josiefied-qwen2.5-7b-instruct-abliterated-v2.IQ4_XS.gguf | 3.96 GB | db95d910 | download |
Q3_K 3 files 10.6 GB - ★ recommended for you
| josiefied-qwen2.5-7b-instruct-abliterated-v2.Q3_K_L.gguf | 3.81 GB | 0027a668 | download |
| josiefied-qwen2.5-7b-instruct-abliterated-v2.Q3_K_M.gguf | 3.55 GB | ef3e71ca | download |
| josiefied-qwen2.5-7b-instruct-abliterated-v2.Q3_K_S.gguf | 3.25 GB | 46dfb347 | download |
IQ3 2 files 6.45 GB - ★ recommended for you
| josiefied-qwen2.5-7b-instruct-abliterated-v2.IQ3_M.gguf | 3.33 GB | b67ab88f | download |
| josiefied-qwen2.5-7b-instruct-abliterated-v2.IQ3_XS.gguf | 3.12 GB | b60e53eb | download |
Q2_K 1 file 2.81 GB - ★ recommended for you
| josiefied-qwen2.5-7b-instruct-abliterated-v2.Q2_K.gguf | 2.81 GB | f1e206fd | download |
IQ2 1 file 257 MB - ★ recommended for you
| josiefied-qwen2.5-7b-instruct-abliterated-v2.IQ2_M.gguf | 257 MB | f477874f | download |
README
README history
The author's README evolved over time. Click a version to see its content at that point.
2025-02-23Update README.md
Loading...2025-02-23Update README.md
Loading...2024-09-27Update README.md
Loading...2024-09-21Create README.md
Loading...
Discussions
2024-09-2214B please
Loading...