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Upload 4-bit quantized version of janhq/Jan-code-4b with 58.1% memory reduction

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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ base_model: janhq/Jan-code-4b
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+ language: en
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+ license: apache-2.0
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+ tags:
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+ - quantized
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+ - 4bit
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+ - bnb
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+ - transformers
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+ model_name: Jan-code-4b-bnb-4bit-nf4
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+ ---
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+
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+ # Jan-code-4b (Quantized)
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+
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+ ## Description
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+ This model is a 4-bit quantized version of the original [`janhq/Jan-code-4b`](https://huggingface.co/janhq/Jan-code-4b) model, optimized for reduced memory usage while maintaining performance.
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+
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+ ## Quantization Details
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+ - **Quantization Type**: 4-bit
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+ - **bnb_4bit_quant_type**: nf4
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+ - **bnb_4bit_use_double_quant**: True
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+ - **bnb_4bit_compute_dtype**: bfloat16
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+ - **bnb_4bit_quant_storage**: uint8
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+ - **Original Footprint**: 8044.94 MB (BFLOAT16)
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+ - **Quantized Footprint**: 3372.88 MB (UINT8)
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+ - **Memory Reduction**: 58.1%
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+
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+ ## Usage
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+ ```python
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+ from transformers import AutoModel, AutoTokenizer
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+
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+ model_name = "Jan-code-4b-bnb-4bit-nf4"
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+ model = AutoModel.from_pretrained(
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+ "manu02/Jan-code-4b-bnb-4bit-nf4",
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+ )
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+ tokenizer = AutoTokenizer.from_pretrained("manu02/Jan-code-4b-bnb-4bit-nf4", use_fast=True)
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+ ```
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