devquasar-4/devquasar-r1-uncensored-llama-8b-gguf Q3_K_M GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.
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devquasar-4/devquasar-r1-uncensored-llama-8b-gguf overview
Comprehensive model page for devquasar-4/devquasar-r1-uncensored-llama-8b-gguf
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123
Likes
3
Pipeline
text-generation
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—
Visibility
Public
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Open
Repository Files & Downloads
7 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| DevQuasar-R1-Uncensored-Llama-8B.Q2_K.gguf | GGUF | Q2_K | 2.96 GB | Download |
| DevQuasar-R1-Uncensored-Llama-8B.Q3_K_M.gguf | GGUF | Q3_K_M | 3.74 GB | Download |
| DevQuasar-R1-Uncensored-Llama-8B.Q4_K_M.gguf | GGUF | Q4_K_M | 4.58 GB | Download |
| DevQuasar-R1-Uncensored-Llama-8B.Q5_K_M.gguf | GGUF | Q5_K_M | 5.34 GB | Download |
| DevQuasar-R1-Uncensored-Llama-8B.Q6_K.gguf | GGUF | Q6_K | 6.14 GB | Download |
| DevQuasar-R1-Uncensored-Llama-8B.Q8_0.gguf | GGUF | — | 7.95 GB | Download |
| DevQuasar-R1-Uncensored-Llama-8B.f16.gguf | GGUF | F16 | 14.97 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
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"metadata": {},
"card_data": {
"license": "mit",
"base_model": [
"DevQuasar/DevQuasar-R1-Uncensored-Llama-8B"
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"pipeline_tag": "text-generation",
"frontmatter": {
"license": "mit",
"base_model": [
"DevQuasar/DevQuasar-R1-Uncensored-Llama-8B"
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"pipeline_tag": "text-generation"
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"hero_image_url": "https://raw.githubusercontent.com/csabakecskemeti/devquasar/main/dq_logo_black-transparent.png",
"summary": "",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nlicense: mit\nbase_model:\n- DevQuasar/DevQuasar-R1-Uncensored-Llama-8B\npipeline_tag: text-generation\n---\n[<img src=\"https://raw.githubusercontent.com/csabakecskemeti/devquasar/main/dq_logo_black-transparent.png\" width=\"200\"/>](https://devquasar.com)\n\n'Make knowledge free for everyone'\n\n<a href='https://ko-fi.com/L4L416YX7C' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://storage.ko-fi.com/cdn/kofi6.png?v=6' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a>\n\n# DevQuasar-R1-Uncensored-Llama-8B\n\n## Eval results\n`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)`\n| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr|\n|----------------------------------------------------------|-------|------|-----:|-----------------------|---|-----:|---|------|\n|hellaswag | 1|none | 0|acc |↑ |0.6052|± |0.0049|\n| | |none | 0|acc_norm |↑ |0.8021|± |0.0040|\n|leaderboard_bbh | N/A| | | | | | | |\n| - leaderboard_bbh_boolean_expressions | 1|none | 3|acc_norm |↑ |0.8360|± |0.0235|\n| - leaderboard_bbh_causal_judgement | 1|none | 3|acc_norm |↑ |0.6043|± |0.0359|\n| - leaderboard_bbh_date_understanding | 1|none | 3|acc_norm |↑ |0.4840|± |0.0317|\n| - leaderboard_bbh_disambiguation_qa | 1|none | 3|acc_norm |↑ |0.6360|± |0.0305|\n| - leaderboard_bbh_formal_fallacies | 1|none | 3|acc_norm |↑ |0.5680|± |0.0314|\n| - leaderboard_bbh_geometric_shapes | 1|none | 3|acc_norm |↑ |0.2760|± |0.0283|\n| - leaderboard_bbh_hyperbaton | 1|none | 3|acc_norm |↑ |0.5440|± |0.0316|\n| - leaderboard_bbh_logical_deduction_five_objects | 1|none | 3|acc_norm |↑ |0.4320|± |0.0314|\n| - leaderboard_bbh_logical_deduction_seven_objects | 1|none | 3|acc_norm |↑ |0.4640|± |0.0316|\n| - leaderboard_bbh_logical_deduction_three_objects | 1|none | 3|acc_norm |↑ |0.6440|± |0.0303|\n| - leaderboard_bbh_movie_recommendation | 1|none | 3|acc_norm |↑ |0.7600|± |0.0271|\n| - leaderboard_bbh_navigate | 1|none | 3|acc_norm |↑ |0.6240|± |0.0307|\n| - leaderboard_bbh_object_counting | 1|none | 3|acc_norm |↑ |0.5440|± |0.0316|\n| - leaderboard_bbh_penguins_in_a_table | 1|none | 3|acc_norm |↑ |0.4658|± |0.0414|\n| - leaderboard_bbh_reasoning_about_colored_objects | 1|none | 3|acc_norm |↑ |0.5640|± |0.0314|\n| - leaderboard_bbh_ruin_names | 1|none | 3|acc_norm |↑ |0.7160|± |0.0286|\n| - leaderboard_bbh_salient_translation_error_detection | 1|none | 3|acc_norm |↑ |0.4920|± |0.0317|\n| - leaderboard_bbh_snarks | 1|none | 3|acc_norm |↑ |0.5899|± |0.0370|\n| - leaderboard_bbh_sports_understanding | 1|none | 3|acc_norm |↑ |0.6880|± |0.0294|\n| - leaderboard_bbh_temporal_sequences | 1|none | 3|acc_norm |↑ |0.2200|± |0.0263|\n| - leaderboard_bbh_tracking_shuffled_objects_five_objects | 1|none | 3|acc_norm |↑ |0.1880|± |0.0248|\n| - leaderboard_bbh_tracking_shuffled_objects_seven_objects| 1|none | 3|acc_norm |↑ |0.1320|± |0.0215|\n| - leaderboard_bbh_tracking_shuffled_objects_three_objects| 1|none | 3|acc_norm |↑ |0.3040|± |0.0292|\n| - leaderboard_bbh_web_of_lies | 1|none | 3|acc_norm |↑ |0.4760|± |0.0316|\n|leaderboard_gpqa | N/A| | | | | | | |\n| - leaderboard_gpqa_diamond | 1|none | 0|acc_norm |↑ |0.3232|± |0.0333|\n| - leaderboard_gpqa_extended | 1|none | 0|acc_norm |↑ |0.3498|± |0.0204|\n| - leaderboard_gpqa_main | 1|none | 0|acc_norm |↑ |0.3527|± |0.0226|\n|leaderboard_ifeval | 3|none | 0|inst_level_loose_acc |↑ |0.4628|± | N/A|\n| | |none | 0|inst_level_strict_acc |↑ |0.4365|± | N/A|\n| | |none | 0|prompt_level_loose_acc |↑ |0.3216|± |0.0201|\n| | |none | 0|prompt_level_strict_acc|↑ |0.2902|± |0.0195|\n|leaderboard_math_hard | N/A| | | | | | | |\n| - leaderboard_math_algebra_hard | 2|none | 4|exact_match |↑ |0.5798|± |0.0282|\n| - leaderboard_math_counting_and_prob_hard | 2|none | 4|exact_match |↑ |0.2276|± |0.0380|\n| - leaderboard_math_geometry_hard | 2|none | 4|exact_match |↑ |0.1970|± |0.0347|\n| - leaderboard_math_intermediate_algebra_hard | 2|none | 4|exact_match |↑ |0.1036|± |0.0182|\n| - leaderboard_math_num_theory_hard | 2|none | 4|exact_match |↑ |0.3377|± |0.0382|\n| - leaderboard_math_prealgebra_hard | 2|none | 4|exact_match |↑ |0.4715|± |0.0360|\n| - leaderboard_math_precalculus_hard | 2|none | 4|exact_match |↑ |0.1111|± |0.0271|\n|leaderboard_mmlu_pro | 0.1|none | 5|acc |↑ |0.3608|± |0.0044|\n|leaderboard_musr | N/A| | | | | | | |\n| - leaderboard_musr_murder_mysteries | 1|none | 0|acc_norm |↑ |0.5920|± |0.0311|\n| - leaderboard_musr_object_placements | 1|none | 0|acc_norm |↑ |0.3867|± |0.0305|\n| - leaderboard_musr_team_allocation | 1|none | 0|acc_norm |↑ |0.3560|± |0.0303|\n\n### Compare to base DeepSeek-R1-Distill-Llama-8B\n\nModel shows improvements in most if these tests:\n\n\n#### Link to eval results\n\n[DevQuasar-R1-Uncensored-Llama-8B](https://github.com/csabakecskemeti/lm_eval_results/blob/main/DevQuasar__DevQuasar-R1-Uncensored-Llama-8B/results_2025-01-28T21-04-03.910794.json)\n[DeepSeek-R1-Distill-Llama-8B](https://github.com/csabakecskemeti/lm_eval_results/blob/main/deepseek-ai__DeepSeek-R1-Distill-Llama-8B/results_2025-01-26T22-29-00.931915.json)\n",
"related_quantizations": []
},
"tags": [
"gguf",
"text-generation",
"base_model:DevQuasar/DevQuasar-R1-Uncensored-Llama-8B",
"base_model:quantized:DevQuasar/DevQuasar-R1-Uncensored-Llama-8B",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 3,
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"gated": false,
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"last_modified": "2025-02-01T15:57:51.000Z",
"created_at": "2025-01-28T21:28:10.000Z",
"pipeline_tag": "text-generation",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
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"createdAt": "2025-01-28T21:28:10.000Z",
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