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DevQuasar-4/DevQuasar-R1-Uncensored-Llama-8B-GGUF

DevQuasar-4 Llama 8B GGUF second-order 131K ctx
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Response includes
  • classification m-uncensored
  • files 9
  • hub_downloads_all_time 6,391
  • author_summary 3 models
  • readme_text full
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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
How we label → About M-U →
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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Downloads · lifetime
6K
219 last 30d - cooling
Likes
3
Model age
20mo ago
created 2025-01-28
Downloads over time
Now6.4K→from5.5K↑17%
5.5K5.8K6.2K6.5K5.5K on Feb 116.4K on Oct 11FebAprJunAugOct
Feb 11 → Oct 11 · 74 snapshots · spans 242 days

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.

DevQuasar/DevQuasar-R1-Uncensored-Llama-8B this lineage
DevQuasar-4/DevQuasar-R1-Uncensored-Llama-8B-GGUF↓ 219

Metadata

License
mit
Quantizations
F16 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
gguf text-generation base_model:DevQuasar-3/DevQuasar-R1-Uncensored-Llama-8B base_model:quantized:DevQuasar-3/DevQuasar-R1-Uncensored-Llama-8B license:mit endpoints_compatible region:us conversational

Related

Other by DevQuasar-4
huihui-ai.Qwen2.5-7B-Instruct-1M-abliterated-GGUF 662 huihui-ai.DeepSeek-R1-Distill-Qwen-32B-abliterated-GGUF 328
Total size
45.7 GB
Files
9
Quantizations
8
Registered
2026-08-22 13:56
Last updated on HF
2025-02-01 15:57
Source huggingface.co/DevQuasar-4/DevQuasar-R1-Uncensored-Llama-8B-GGUF ↗ Base model DevQuasar/DevQuasar-R1-Uncensored-Llama-8B ↗

Files by quantization

F16 1 file 15.0 GB
DevQuasar-R1-Uncensored-Llama-8B.f16.gguf 15.0 GB bbdad3c5 download
Q8_0 1 file 7.95 GB
DevQuasar-R1-Uncensored-Llama-8B.Q8_0.gguf 7.95 GB 17792b81 download
Q6_K 1 file 6.14 GB
DevQuasar-R1-Uncensored-Llama-8B.Q6_K.gguf 6.14 GB 10f40551 download
Q5_K 1 file 5.34 GB
DevQuasar-R1-Uncensored-Llama-8B.Q5_K_M.gguf 5.34 GB 7d3b051a download
Q4_K 1 file 4.58 GB
DevQuasar-R1-Uncensored-Llama-8B.Q4_K_M.gguf 4.58 GB 7c57c424 download
Q3_K 1 file 3.74 GB
DevQuasar-R1-Uncensored-Llama-8B.Q3_K_M.gguf 3.74 GB 7beeda2d download
Q2_K 1 file 2.96 GB
DevQuasar-R1-Uncensored-Llama-8B.Q2_K.gguf 2.96 GB 4c9ce2ca download
Auxiliary files 2 files 9.79 KB
README.md 7.76 KB 15e9d14b download
.gitattributes 2.03 KB 868e3be1 download

README current version from Hugging Face

license: mit
base_model:

  • DevQuasar/DevQuasar-R1-Uncensored-Llama-8B
    pipeline_tag: text-generation

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DevQuasar-R1-Uncensored-Llama-8B

Eval results

hf (pretrained=DevQuasar/DevQuasar-R1-Uncensored-Llama-8B,parallelize=True,dtype=float16), gen_kwargs: (temperature=0.6,top_p=0.95,do_sample=True), limit: None, num_fewshot: None, batch_size: auto:4 (1,16,64,64)

Tasks Version Filter n-shot Metric Value Stderr
hellaswag 1 none 0 acc ↑ 0.6052 ± 0.0049
none 0 acc_norm ↑ 0.8021 ± 0.0040
leaderboard_bbh N/A
- leaderboard_bbh_boolean_expressions 1 none 3 acc_norm ↑ 0.8360 ± 0.0235
- leaderboard_bbh_causal_judgement 1 none 3 acc_norm ↑ 0.6043 ± 0.0359
- leaderboard_bbh_date_understanding 1 none 3 acc_norm ↑ 0.4840 ± 0.0317
- leaderboard_bbh_disambiguation_qa 1 none 3 acc_norm ↑ 0.6360 ± 0.0305
- leaderboard_bbh_formal_fallacies 1 none 3 acc_norm ↑ 0.5680 ± 0.0314
- leaderboard_bbh_geometric_shapes 1 none 3 acc_norm ↑ 0.2760 ± 0.0283
- leaderboard_bbh_hyperbaton 1 none 3 acc_norm ↑ 0.5440 ± 0.0316
- leaderboard_bbh_logical_deduction_five_objects 1 none 3 acc_norm ↑ 0.4320 ± 0.0314
- leaderboard_bbh_logical_deduction_seven_objects 1 none 3 acc_norm ↑ 0.4640 ± 0.0316
- leaderboard_bbh_logical_deduction_three_objects 1 none 3 acc_norm ↑ 0.6440 ± 0.0303
- leaderboard_bbh_movie_recommendation 1 none 3 acc_norm ↑ 0.7600 ± 0.0271
- leaderboard_bbh_navigate 1 none 3 acc_norm ↑ 0.6240 ± 0.0307
- leaderboard_bbh_object_counting 1 none 3 acc_norm ↑ 0.5440 ± 0.0316
- leaderboard_bbh_penguins_in_a_table 1 none 3 acc_norm ↑ 0.4658 ± 0.0414
- leaderboard_bbh_reasoning_about_colored_objects 1 none 3 acc_norm ↑ 0.5640 ± 0.0314
- leaderboard_bbh_ruin_names 1 none 3 acc_norm ↑ 0.7160 ± 0.0286
- leaderboard_bbh_salient_translation_error_detection 1 none 3 acc_norm ↑ 0.4920 ± 0.0317
- leaderboard_bbh_snarks 1 none 3 acc_norm ↑ 0.5899 ± 0.0370
- leaderboard_bbh_sports_understanding 1 none 3 acc_norm ↑ 0.6880 ± 0.0294
- leaderboard_bbh_temporal_sequences 1 none 3 acc_norm ↑ 0.2200 ± 0.0263
- leaderboard_bbh_tracking_shuffled_objects_five_objects 1 none 3 acc_norm ↑ 0.1880 ± 0.0248
- leaderboard_bbh_tracking_shuffled_objects_seven_objects 1 none 3 acc_norm ↑ 0.1320 ± 0.0215
- leaderboard_bbh_tracking_shuffled_objects_three_objects 1 none 3 acc_norm ↑ 0.3040 ± 0.0292
- leaderboard_bbh_web_of_lies 1 none 3 acc_norm ↑ 0.4760 ± 0.0316
leaderboard_gpqa N/A
- leaderboard_gpqa_diamond 1 none 0 acc_norm ↑ 0.3232 ± 0.0333
- leaderboard_gpqa_extended 1 none 0 acc_norm ↑ 0.3498 ± 0.0204
- leaderboard_gpqa_main 1 none 0 acc_norm ↑ 0.3527 ± 0.0226
leaderboard_ifeval 3 none 0 inst_level_loose_acc ↑ 0.4628 ± N/A
none 0 inst_level_strict_acc ↑ 0.4365 ± N/A
none 0 prompt_level_loose_acc ↑ 0.3216 ± 0.0201
none 0 prompt_level_strict_acc ↑ 0.2902 ± 0.0195
leaderboard_math_hard N/A
- leaderboard_math_algebra_hard 2 none 4 exact_match ↑ 0.5798 ± 0.0282
- leaderboard_math_counting_and_prob_hard 2 none 4 exact_match ↑ 0.2276 ± 0.0380
- leaderboard_math_geometry_hard 2 none 4 exact_match ↑ 0.1970 ± 0.0347
- leaderboard_math_intermediate_algebra_hard 2 none 4 exact_match ↑ 0.1036 ± 0.0182
- leaderboard_math_num_theory_hard 2 none 4 exact_match ↑ 0.3377 ± 0.0382
- leaderboard_math_prealgebra_hard 2 none 4 exact_match ↑ 0.4715 ± 0.0360
- leaderboard_math_precalculus_hard 2 none 4 exact_match ↑ 0.1111 ± 0.0271
leaderboard_mmlu_pro 0.1 none 5 acc ↑ 0.3608 ± 0.0044
leaderboard_musr N/A
- leaderboard_musr_murder_mysteries 1 none 0 acc_norm ↑ 0.5920 ± 0.0311
- leaderboard_musr_object_placements 1 none 0 acc_norm ↑ 0.3867 ± 0.0305
- leaderboard_musr_team_allocation 1 none 0 acc_norm ↑ 0.3560 ± 0.0303

Compare to base DeepSeek-R1-Distill-Llama-8B

Model shows improvements in most if these tests:
image/png

Link to eval results

DevQuasar-R1-Uncensored-Llama-8B
DeepSeek-R1-Distill-Llama-8B

README history 4 versions

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

  1. 2025-02-01Update README.md8dd89cd7.8 KB
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  2. 2025-01-29Update README.md8d321aa7.4 KB
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  3. 2025-01-28Update README.md13be0c7107 B
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  4. 2025-01-28initial commit08aa69121 B
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