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Model: suayptalha/Komodo-Llama-3.2-3B-v2-fp16
Source: Original Platform

README.md

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+---
+language:
+- en
+- th
+- pt
+- es
+- de
+- fr
+- it
+- hi
+license: apache-2.0
+library_name: transformers
+tags:
+- unsloth
+- trl
+- sft
+- text-generation-inference
+base_model:
+- meta-llama/Llama-3.2-3B-Instruct
+datasets:
+- jeggers/competition_math
+pipeline_tag: text-generation
+model-index:
+- name: Komodo-Llama-3.2-3B-v2-fp16
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 63.41
+      name: strict accuracy
+    source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Komodo-Llama-3.2-3B-v2-fp16
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 20.2
+      name: normalized accuracy
+    source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Komodo-Llama-3.2-3B-v2-fp16
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 6.27
+      name: exact match
+    source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Komodo-Llama-3.2-3B-v2-fp16
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 3.69
+      name: acc_norm
+    source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Komodo-Llama-3.2-3B-v2-fp16
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 3.37
+      name: acc_norm
+    source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Komodo-Llama-3.2-3B-v2-fp16
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 20.58
+      name: accuracy
+    source:
+      url: >-
+        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=suayptalha/Komodo-Llama-3.2-3B-v2-fp16
+      name: Open LLM Leaderboard
+---
+
+![Komodo-Logo](Komodo-Logo.jpg)
+
+This version of Komodo is a Llama-3.2-3B-Instruct finetuned model on jeggers/competition_math dataset to increase math performance of the base model.
+
+This model is fp16. You should import it using torch_dtype="float16".
+
+Finetune system prompt:
+```
+You are a highly intelligent and accurate mathematical assistant.
+You will solve mathematical problems step by step, explain your reasoning clearly, and provide concise, correct answers.
+When the solution requires multiple steps, detail each step systematically.
+```
+
+You can use ChatML format!
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_suayptalha__Komodo-Llama-3.2-3B-v2-fp16)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |19.59|
+|IFEval (0-Shot)    |63.41|
+|BBH (3-Shot)       |20.20|
+|MATH Lvl 5 (4-Shot)| 6.27|
+|GPQA (0-shot)      | 3.69|
+|MuSR (0-shot)      | 3.37|
+|MMLU-PRO (5-shot)  |20.58|
+
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