calme-2.8-qwen2-7b/README.md

language, license, library_name, tags, base_model, datasets, model_name, pipeline_tag, inference, model_creator, quantized_by, model-index

language	license	library_name	tags	base_model	datasets	model_name	pipeline_tag	inference	model_creator	quantized_by	model-index
en	apache-2.0	transformers	chat qwen qwen2 finetune chatml OpenHermes-2.5 HelpSteer2 Orca SlimOrca	Qwen/Qwen2-7B	nvidia/HelpSteer2 teknium/OpenHermes-2.5 microsoft/orca-math-word-problems-200k Open-Orca/SlimOrca	calme-2.8-qwen2-7b	text-generation	false	MaziyarPanahi	MaziyarPanahi	name results Qwen2-7B-Instruct-v0.8 task dataset metrics source type name text-generation Text Generation name type args IFEval (0-Shot) HuggingFaceH4/ifeval num_few_shot 0 type value name inst_level_strict_acc and prompt_level_strict_acc 27.75 strict accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-7B-Instruct-v0.8 Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args BBH (3-Shot) BBH num_few_shot 3 type value name acc_norm 25.53 normalized accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-7B-Instruct-v0.8 Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args MATH Lvl 5 (4-Shot) hendrycks/competition_math num_few_shot 4 type value name exact_match 15.63 exact match url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-7B-Instruct-v0.8 Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args GPQA (0-shot) Idavidrein/gpqa num_few_shot 0 type value name acc_norm 5.82 acc_norm url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-7B-Instruct-v0.8 Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type args MuSR (0-shot) TAUR-Lab/MuSR num_few_shot 0 type value name acc_norm 12.06 acc_norm url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-7B-Instruct-v0.8 Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args MMLU-PRO (5-shot) TIGER-Lab/MMLU-Pro main test num_few_shot 5 type value name acc 28.51 accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/Qwen2-7B-Instruct-v0.8 Open LLM Leaderboard

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

Detailed results can be found here

Metric	Value
Avg.	19.22
IFEval (0-Shot)	27.75
BBH (3-Shot)	25.53
MATH Lvl 5 (4-Shot)	15.63
GPQA (0-shot)	5.82
MuSR (0-shot)	12.06
MMLU-PRO (5-shot)	28.51

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")