base_model:
- deepseek-ai/DeepSeek-R1-Distill-Llama-8B
- bunnycore/LLama-3.1-8B-HyperNova-abliteration
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
library_name: transformers
tags: - mergekit
- merge
license: mit
'Make knowledge free for everyone'
DevQuasar-R1-Uncensored-Llama-8B
This is a merge of pre-trained language models created using mergekit.
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:
Link to eval results
DevQuasar-R1-Uncensored-Llama-8B
DeepSeek-R1-Distill-Llama-8B
Merge Details
Merge Method
This model was merged using the Linear merge method.
Models Merged
The following models were included in the merge:
- deepseek-ai/DeepSeek-R1-Distill-Llama-8B
- bunnycore/LLama-3.1-8B-HyperNova-abliteration
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
parameters:
weight: 0.3
- model: bunnycore/LLama-3.1-8B-HyperNova-abliteration
parameters:
weight: 0.3
- model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
parameters:
weight: 0.4
merge_method: linear
dtype: float16