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Jan-code-4b-bnb-4bit-nf4-dq – AI Model by manu02 | AlphaNeural AI

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manu02/
Jan-code-4b-bnb-4bit-nf4-dq

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text-generation

janhq/Jan-code-4b

text-generation-inference

endpoints_compatible

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Jan-code-4b (Quantized)

Description

This model is a 4-bit quantized version of the original janhq/Jan-code-4b model, optimized for reduced memory usage while maintaining performance.

Quantization Details

Quantization Type: 4-bit
bnb_4bit_quant_type: nf4
bnb_4bit_use_double_quant: True
bnb_4bit_compute_dtype: bfloat16
bnb_4bit_quant_storage: uint8
Original Footprint: 8044.94 MB (BFLOAT16)
Quantized Footprint: 3372.88 MB (UINT8)
Memory Reduction: 58.1%

Usage

python

from transformers import AutoModel, AutoTokenizer

model_name = "Jan-code-4b-bnb-4bit-nf4"
model = AutoModel.from_pretrained(
    "manu02/Jan-code-4b-bnb-4bit-nf4",
)
tokenizer = AutoTokenizer.from_pretrained("manu02/Jan-code-4b-bnb-4bit-nf4", use_fast=True)