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DevQuasar/analytical_reasoning_r16a32_unsloth-Llama-3.2-3B-Instruct-bnb-4bit
analytical_reasoning_r16a32_unsloth-Llama-3.2-3B-Instruct-bnb-4bit is a text generation model from DevQuasar. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama3.2.
Downloads · 30 days
17
2% of all-time downloads
All-time downloads
779
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3.2B
6.4 GB on disk
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.safetensors6.4 GB · 100%
From the Hugging Face model README

The fine tuned model (DevQuasar/analytical_reasoning_r16a32_unsloth-Llama-3.2-3B-Instruct-bnb-4bit) has gained performace over the base model (unsloth/Llama-3.2-3B-Instruct-bnb-4bit) in the following tasks.
| Test | Base Model | Fine-Tuned Model | Performance Gain |
|---|---|---|---|
| leaderboard_bbh_logical_deduction_seven_objects | 0.2520 | 0.4360 | 0.1840 |
| leaderboard_bbh_logical_deduction_five_objects | 0.3560 | 0.4560 | 0.1000 |
| leaderboard_musr_team_allocation | 0.2200 | 0.3200 | 0.1000 |
| leaderboard_bbh_disambiguation_qa | 0.3040 | 0.3760 | 0.0720 |
| leaderboard_gpqa_diamond | 0.2222 | 0.2727 | 0.0505 |
| leaderboard_bbh_movie_recommendation | 0.5960 | 0.6360 | 0.0400 |
| leaderboard_bbh_formal_fallacies | 0.5080 | 0.5400 | 0.0320 |
| leaderboard_bbh_tracking_shuffled_objects_three_objects | 0.3160 | 0.3440 | 0.0280 |
| leaderboard_bbh_causal_judgement | 0.5455 | 0.5668 | 0.0214 |
| leaderboard_bbh_web_of_lies | 0.4960 | 0.5160 | 0.0200 |
| leaderboard_math_geometry_hard | 0.0455 | 0.0606 | 0.0152 |
| leaderboard_math_num_theory_hard | 0.0519 | 0.0649 | 0.0130 |
| leaderboard_musr_murder_mysteries | 0.5280 | 0.5400 | 0.0120 |
| leaderboard_gpqa_extended | 0.2711 | 0.2802 | 0.0092 |
| leaderboard_bbh_sports_understanding | 0.5960 | 0.6040 | 0.0080 |
| leaderboard_math_intermediate_algebra_hard | 0.0107 | 0.0143 | 0.0036 |
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