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jarkas/
jilid_llama_1b_4bit_v3

Name: jilid_llama_1b_4bit_v3
Availability: InStock

jilid_llama_1b_4bit_v3

The Model jilid_llama_1b_4bit_v3 was converted to MLX format from mlx-community/Llama-3.2-1B-Instruct-4bit using mlx-lm version 0.21.5.

Use with mlx

pip install mlx-lm

python

from mlx_lm import load, generate

model, tokenizer = load("jilid_llama_1b_4bit_v3")

prompt = "hello"

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

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

jarkas/jilid_llama_1b_4bit_v3

jilid_llama_1b_4bit_v3

Use with mlx

jarkas/
jilid_llama_1b_4bit_v3