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cmeraki/
OpenHathi-7B-Hi-v0.1-Base-gptq

Name: OpenHathi-7B-Hi-v0.1-Base-gptq
Availability: InStock

meta-llama/Llama-2-7b-chat-hf

quantized

llama2

autotrain_compatible

text-generation-inference

4-bit

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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

python

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]))