Text Generation
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128k context
llama3.3
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conversational
text-generation-inference
5-bit
alexgusevski/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-mlx-5Bit
The Model alexgusevski/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-mlx-5Bit was converted to MLX format from DavidAU/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning using mlx-lm version 0.29.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("alexgusevski/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-mlx-5Bit")
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 size
8B params
Tensor type
BF16
·
U32
·
Hardware compatibility
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5-bit
Model tree for alexgusevski/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning-mlx-5Bit
Base model
allura-forge/Llama-3.3-8B-Instruct