k8smee/NexusRaven-V2-13B-mlx-6Bit
The Model k8smee/NexusRaven-V2-13B-mlx-6Bit was converted to MLX format from Nexusflow/NexusRaven-V2-13B using mlx-lm version 0.26.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("k8smee/NexusRaven-V2-13B-mlx-6Bit")
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)
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Model tree for k8smee/NexusRaven-V2-13B-mlx-6Bit
Base model
codellama/CodeLlama-13b-Instruct-hf
				Finetuned
	
	
Nexusflow/NexusRaven-V2-13B