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README.md

@@ -1,119 +1,12 @@
 ---
-license: llama3.2
-datasets:
-- microsoft/orca-agentinstruct-1M-v1
-pipeline_tag: text-generation
-library_name: transformers
 base_model:
-- DevQuasar/analytical_reasoning_r16a32_unsloth-Llama-3.2-3B-Instruct-bnb-4bit
-model-index:
-- name: analytical_reasoning_r16a32_unsloth-Llama-3.2-3B-Instruct-bnb-4bit
-  results:
-  - task:
-      type: text-generation
-    dataset:
-      type: lm-evaluation-harness
-      name: bbh
-    metrics:
-    - name: acc_norm
-      type: acc_norm
-      value: 0.4168
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: lm-evaluation-harness
-      name: gpqa
-    metrics:
-    - name: acc_norm
-      type: acc_norm
-      value: 0.2691
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: lm-evaluation-harness
-      name: math
-    metrics:
-    - name: exact_match
-      type: exact_match
-      value: 0.0867
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: lm-evaluation-harness
-      name: mmlu
-    metrics:
-    - name: acc_norm
-      type: acc_norm
-      value: 0.2822
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: lm-evaluation-harness
-      name: musr
-    metrics:
-    - name: acc_norm
-      type: acc_norm
-      value: 0.3648
-      verified: false
-  - task:
-      type: text-generation
-    dataset:
-      type: lm-evaluation-harness
-      name: hellaswag
-    metrics:
-    - name: acc
-      type: acc
-      value: 0.5141
-      verified: false
-    - name: acc_norm
-      type: acc_norm
-      value: 0.6793
-      verified: false
-      
+- analytical_reasoning_r16a32_unsloth-Llama-3/2-3B-Instruct-bnb-4bit
+pipeline_tag: text-generation
 ---
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/64e6d37e02dee9bcb9d9fa18/X4WG8AnMFqJuWkRvA0CrW.png)
-
-### Eval
-
-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 |
- 
-
-### Framework versions
-
-- unsloth 2024.11.5
-- trl 0.12.0
-
-### Training HW
-- V100
-
-I'm doing this to 'Make knowledge free for everyone', using my personal time and resources.
+[<img src="https://raw.githubusercontent.com/csabakecskemeti/devquasar/main/dq_logo_black-transparent.png" width="200"/>](https://devquasar.com)
 
-If you want to support my efforts please visit my ko-fi page: https://ko-fi.com/devquasar
+'Make knowledge free for everyone'
 
-Also feel free to visit my website https://devquasar.com/
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