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Machine learning Interview@machinelearning_interview P.1820
MACHINELEARNING_INTERVIEW Telegram 1820
🔥 DeepSeek R1 (0528) — компактная MLX-версия!

А вот и 4-битная квантованная версия DeepSeek R1 специально под MLX.

Модель запускается локально на Mac с Apple Silicon без танцев с бубном и GPU.

Установка:

pip install mlx-lm


from mlx_lm import load, generate

model, tokenizer = load("mlx-community/DeepSeek-R1-0528-4bit")

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)


👉 huggingface.co/mlx-community/DeepSeek-R1-0528-4bit

#DeepSeek
9👍5🔥4



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🔥 DeepSeek R1 (0528) — компактная MLX-версия!

А вот и 4-битная квантованная версия DeepSeek R1 специально под MLX.

Модель запускается локально на Mac с Apple Silicon без танцев с бубном и GPU.

Установка:

pip install mlx-lm


from mlx_lm import load, generate

model, tokenizer = load("mlx-community/DeepSeek-R1-0528-4bit")

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)


👉 huggingface.co/mlx-community/DeepSeek-R1-0528-4bit

#DeepSeek

BY Machine learning Interview




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