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Qwen2 fine-tune

MaziyarPanahi/calme-2.7-qwen2-7b

This is a fine-tuned version of the Qwen/Qwen2-7B model. It aims to improve the base model across all benchmarks.

⚑ Quantized GGUF

All GGUF models are available here: MaziyarPanahi/calme-2.7-qwen2-7b-GGUF

πŸ† Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 22.07
IFEval (0-Shot) 35.92
BBH (3-Shot) 28.91
MATH Lvl 5 (4-Shot) 12.08
GPQA (0-shot) 5.48
MuSR (0-shot) 19.94
MMLU-PRO (5-shot) 30.06

Prompt Template

This model uses ChatML prompt template:

<|im_start|>system
{System}
<|im_end|>
<|im_start|>user
{User}
<|im_end|>
<|im_start|>assistant
{Assistant}

How to use


# Use a pipeline as a high-level helper

from transformers import pipeline

messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe = pipeline("text-generation", model="MaziyarPanahi/calme-2.7-qwen2-7b")
pipe(messages)


# Load model directly

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/calme-2.7-qwen2-7b")
model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-2.7-qwen2-7b")
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Inference Examples
Inference API (serverless) has been turned off for this model.

Model tree for MaziyarPanahi/calme-2.7-qwen2-7b

Base model

Qwen/Qwen2-7B
Finetuned
(42)
this model
Quantizations
3 models

Datasets used to train MaziyarPanahi/calme-2.7-qwen2-7b

Collections including MaziyarPanahi/calme-2.7-qwen2-7b

Evaluation results