Configuration Parsing
Warning:
In config.json: "quantization_config.bits" must be an integer
![Qwen2 fine-tune](/Suparious/Qwen2-7B-Instruct-v0.8-exl2-6.5bpw/resolve/main/qwen2-fine-tunes-maziyar-panahi.webp)
MaziyarPanahi/Qwen2-7B-Instruct-v0.8
This is a fine-tuned version of the Qwen/Qwen2-7B
model. It aims to improve the base model across all benchmarks.
β‘ Quantized GGUF
All GGUF models are available here: MaziyarPanahi/Qwen2-7B-Instruct-v0.8-GGUF
π 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/Qwen2-7B-Instruct-v0.8")
pipe(messages)
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/Qwen2-7B-Instruct-v0.8")
model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/Qwen2-7B-Instruct-v0.8")
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Base model
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