Series of code models by JetBrains • 9 items • Updated • 2
mlx-community/Mellum-4b-base-4bit
This model mlx-community/Mellum-4b-base-4bit was converted to MLX format from JetBrains/Mellum-4b-base using mlx-lm version 0.25.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Mellum-4b-base-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)
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Safetensors
Model size
0.6B params
Tensor type
BF16
·
U32 ·
MLX
Hardware compatibility
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4-bit
Model tree for mlx-community/Mellum-4b-base-4bit
Base model
JetBrains/Mellum-4b-baseDatasets used to train mlx-community/Mellum-4b-base-4bit
Collection including mlx-community/Mellum-4b-base-4bit
Evaluation results
- EM on RepoBench 1.1 (Python)self-reported0.259
- EM ≤ 8k on RepoBench 1.1 (Python)self-reported0.280
- EM on RepoBench 1.1 (Python)self-reported0.282
- EM on RepoBench 1.1 (Python)self-reported0.280
- EM on RepoBench 1.1 (Python)self-reported0.278
- EM on RepoBench 1.1 (Python)self-reported0.245
- EM on RepoBench 1.1 (Python)self-reported0.211
- EM on RepoBench 1.1 (Java)self-reported0.286
