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MaziyarPanahi/calme-2.2-qwen2-7b
calme-2.2-qwen2-7b is a text generation model from MaziyarPanahi. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
<img src="./qwen2-fine-tunes-maziyar-panahi.webp" alt="Qwen2 fine-tune" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/
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From the Hugging Face model README
This is a fine-tuned version of the Qwen/Qwen2-7B model. It aims to improve the base model across all benchmarks.
All GGUF models are available here: MaziyarPanahi/calme-2.2-qwen2-7b-GGUF
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 23.23 |
| IFEval (0-Shot) | 35.97 |
| BBH (3-Shot) | 33.11 |
| MATH Lvl 5 (4-Shot) | 19.34 |
| GPQA (0-shot) | 5.48 |
| MuSR (0-shot) | 13.28 |
| MMLU-PRO (5-shot) | 32.21 |
This model uses ChatML prompt template:
<|im_start|>system
{System}
<|im_end|>
<|im_start|>user
{User}
<|im_end|>
<|im_start|>assistant
{Assistant}
# 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-2.2-qwen2-7b")
pipe(messages)
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/calme-2.2-qwen2-7b")
model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-2.2-qwen2-7b")