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---
license: apache-2.0
language:
- en
base_model:
- meta-llama/Llama-3.2-3B-Instruct
pipeline_tag: text-generation
tags:
- text-generation-inference
- unsloth
- trl
- sft
- math
- code
datasets:
- jeggers/competition_math
library_name: transformers
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
---
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 4bit-quantized. You should import it 8bit if you want to use 3B parameters!
Make sure you installed 'bitsandbytes' library before import.
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| |