OpenHathi Base GPTQ
- Model creator: Sarvam AI
- Original model: sarvamai/OpenHathi-7B-Hi-v0.1-Base
Description
This repo contains GPTQ model files for Sarvam's OpenHathi.
Files are made using AutoGPTQ with following config.
quantization_config : {"bits": 4,
"group_size": 128,
"damp_percent": 0.1,
"desc_act": true,
}
We use a custom dataset which has both Hindi and English wiki articles. We truncate to max_length=1024 and model may not perform well beyond that context size.
Prompt template
This is a base model not tuned for any instructions. Feel free to use any format. Alpaca/Vicuna works fine.
Oobagooba
Standard oobagooba works with exllama2 / autogptq loader
Using in code
from auto_gptq import AutoGPTQForCausalLM, BaseQuantizeConfig
from transformers import AutoTokenizer
model_dir = 'cmeraki/OpenHathi-7B-Hi-v0.1-Base-gptq'
model = AutoGPTQForCausalLM.from_quantized(model_dir, device="cuda:0")
tokenizer = AutoTokenizer.from_pretrained(model_dir, fast=True)
tokens = tokenizer("do aur do", return_tensors="pt").to(model.device)
print(tokenizer.decode(model.generate(**tokens, max_length=1024)[0]))
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