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MaziyarPanahi/Qwen2-72B-Instruct-v0.1-GGUF

The GGUF and quantized models here are based on MaziyarPanahi/Qwen2-72B-Instruct-v0.1 model

How to download

You can download only the quants you need instead of cloning the entire repository as follows:

huggingface-cli download MaziyarPanahi/Qwen2-72B-Instruct-v0.1-GGUF --local-dir . --include '*Q2_K*gguf'

Load GGUF models

You MUST follow the prompt template provided by Llama-3:

./llama.cpp/main -m Meta-Llama-3-70B-Instruct.Q2_K.gguf -p "<|im_start|>user\nJust say 1, 2, 3 hi and NOTHING else\n<|im_end|>\n<|im_start|>assistant\n" -n 1024

Original README


MaziyarPanahi/Qwen2-72B-Instruct-v0.1

This is a fine-tuned version of the Qwen/Qwen2-72B-Instruct model. It aims to improve the base model across all benchmarks.

⚑ Quantized GGUF

All GGUF models are available here: MaziyarPanahi/Qwen2-72B-Instruct-v0.1-GGUF

πŸ† Open LLM Leaderboard Evaluation Results

Tasks Version Filter n-shot Metric Value Stderr
truthfulqa_mc2 2 none 0 acc 0.6761 Β± 0.0148
Tasks Version Filter n-shot Metric Value Stderr
winogrande 1 none 5 acc 0.8248 Β± 0.0107
Tasks Version Filter n-shot Metric Value Stderr
arc_challenge 1 none 25 acc 0.6852 Β± 0.0136
none 25 acc_norm 0.7184 Β± 0.0131
Tasks Version Filter n-shot Metric Value Stderr
gsm8k 3 strict-match 5 exact_match 0.8582 Β± 0.0096
flexible-extract 5 exact_match 0.8893 Β± 0.0086

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/Qwen2-72B-Instruct-v0.1")
pipe(messages)


# Load model directly

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/Qwen2-72B-Instruct-v0.1")
model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/Qwen2-72B-Instruct-v0.1")
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GGUF
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qwen2

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