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

asnlvkewffrdev/llama2-qlora-finetunined-wizard_vicuna_70k_unfiltered

asnlvkewffrdev Llama
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/asnlvkewffrdev%2Fllama2-qlora-finetunined-wizard_vicuna_70k_unfiltered"
Response includes
  • classification unknown
  • files 4
  • author_summary 1 models
  • readme_text full
Try next
GET/models?family=llama&method=unknown
Sibling llama models · same method
 GET/methods/unknown
What "unknown" means · taxonomy
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
?
Primary method

Unclassified

No clear signals of an abliteration technique in this model.
Confidence
UNKNOWN
Why this label 1 signal
No classification signals present. This may not be an abliterated model at all - it could be a repackaging, a merge with unrelated goals, or unrelated content that mentions the term.
  • no classification signals present (no abliterated, uncensored, or known producer/method markers)
How we label → About ? →
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 · 30-day
3
Likes
0
Model age
3.1y ago
created 2023-08-22
Downloads over time
Now18→from0↑0%
01020300 on Jul 24, 202418 on Oct 1127 on Sep 24, 2025Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 11 · 155 snapshots · spans 809 days

Metadata

Tags
peft region:us
Total size
24.1 MB
Files
4
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2023-08-22 13:15
Source huggingface.co/asnlvkewffrdev/llama2-qlora-finetunined-wizard_vicuna_70k_unfiltered ↗

Files by quantization

Auxiliary files 4 files 24.1 MB
adapter_model.bin 24.1 MB cbf2052b download
.gitattributes 1.48 KB a6344aac download
adapter_config.json 460 B 54c5543e download
README.md 434 B 3618d30c download

README current version from Hugging Face

library_name: peft

Training procedure

The following bitsandbytes quantization config was used during training:

  • load_in_8bit: False
  • load_in_4bit: True
  • llm_int8_threshold: 6.0
  • llm_int8_skip_modules: None
  • llm_int8_enable_fp32_cpu_offload: False
  • llm_int8_has_fp16_weight: False
  • bnb_4bit_quant_type: nf4
  • bnb_4bit_use_double_quant: True
  • bnb_4bit_compute_dtype: float16

Framework versions

  • PEFT 0.5.0

README history 1 version

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

  1. 2023-08-22Upload modelc6f2e8f434 B
    Loading...

Discussions 1 thread

  1. 2023-09-19PRLibrarian Bot: Add base_model information to modelopen1 💬#1
    Loading...

Continue on Hugging Face →

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.

Get the app Browse the catalog
Open in Abliteration