---

license: apache-2.0 language:

• en pipeline_tag: text-generation tags:
• chat
• qwen
• qwen2
• finetune
• chatml
• OpenHermes-2.5
• HelpSteer2
• Orca
• SlimOrca library_name: transformers inference: false model_creator: MaziyarPanahi quantized_by: MaziyarPanahi base_model: Qwen/Qwen2-7B model_name: calme-2.8-qwen2-7b datasets:
• nvidia/HelpSteer2
• teknium/OpenHermes-2.5
• microsoft/orca-math-word-problems-200k
• Open-Orca/SlimOrca

---

QuantFactory/calme-2.8-qwen2-7b-GGUF

This is quantized version of MaziyarPanahi/calme-2.8-qwen2-7b created using llama.cpp

Original Model Card

MaziyarPanahi/calme-2.8-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-2.8-qwen2-7b-GGUF

🏆 Open LLM Leaderboard Evaluation Results

coming soon!

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-2.8-qwen2-7b")
pipe(messages)


# Load model directly

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/calme-2.8-qwen2-7b")
model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-2.8-qwen2-7b")