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Model: QuantFactory/calme-2.8-qwen2-7b-GGUF
Source: Original Platform

README.md

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+
+---
+
+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
+
+---
+
+![](https://cdn.discordapp.com/attachments/791342238541152306/1264099835221381251/image.png?ex=669ca436&is=669b52b6&hm=129f56187c31e1ed22cbd1bcdbc677a2baeea5090761d2f1a458c8b1ec7cca4b&)
+
+# QuantFactory/calme-2.8-qwen2-7b-GGUF
+This is quantized version of [MaziyarPanahi/calme-2.8-qwen2-7b](https://huggingface.co/MaziyarPanahi/calme-2.8-qwen2-7b) created using llama.cpp
+
+# Original Model Card
+
+
+<img src="./qwen2-fine-tunes-maziyar-panahi.webp" alt="Qwen2 fine-tune" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
+
+# 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](https://huggingface.co/MaziyarPanahi/calme-2.8-qwen2-7b-GGUF)
+
+# 🏆 [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+
+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
+
+
+```python
+
+# 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")
+```