Josiefied-Qwen2.5-7B-Instruct-abliterated-v2/README.md

base_model, language, license, license_link, pipeline_tag, tags, model-index

base_model	language	license	license_link	pipeline_tag	tags	model-index
Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2	en	apache-2.0	https://huggingface.co/Qwen/Qwen2.5-7B-Instruct/blob/main/LICENSE	text-generation	chat mlx	name results Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 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 78.41 strict accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 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 33.29 normalized accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 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 0.0 exact match url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 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 6.49 acc_norm url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 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 13.96 acc_norm url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 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 34.76 accuracy url name https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 Open LLM Leaderboard

mlx-community/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2

The Model mlx-community/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 was converted to MLX format from Goekdeniz-Guelmez/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2 using mlx-lm version 0.18.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)