Quantization
Collection
A collection of quantized models. All the models can be fine-tuned by adding a LoRA Adapter. • 82 items • Updated • 3
The Quantized Google Gemma 2B Model
Original Base Model: google/gemma-2b.
Link: https://huggingface.co/google/gemma-2b
Quantization Configurations
"quantization_config": {
"batch_size": 1,
"bits": 4,
"block_name_to_quantize": null,
"cache_block_outputs": true,
"damp_percent": 0.1,
"dataset": null,
"desc_act": false,
"exllama_config": {
"version": 1
},
"group_size": 128,
"max_input_length": null,
"model_seqlen": null,
"module_name_preceding_first_block": null,
"modules_in_block_to_quantize": null,
"pad_token_id": null,
"quant_method": "gptq",
"sym": true,
"tokenizer": null,
"true_sequential": true,
"use_cuda_fp16": false,
"use_exllama": true
},
Source Codes
Source Codes: https://github.com/vkola-lab/medpodgpt/tree/main/quantization.
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