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OpenHathi 7B Hi V0.1 Base Gptq by cmeraki

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OpenHathi 7B Hi V0.1 Base Gptq is an open-source language model by cmeraki. Features: 7b LLM, VRAM: 4.2GB, Context: 4K, License: llama2, Quantized, LLM Explorer Score: 0.12.

  4-bit   Autotrain compatible Base model:meta-llama/llama-2-... Base model:quantized:meta-llam...   En   Gptq   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/cmeraki/OpenHathi-7B-Hi-v0.1-Base-gptq 

OpenHathi 7B Hi V0.1 Base Gptq Benchmarks

LLME Score: 0.11695
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenHathi 7B Hi V0.1 Base Gptq (cmeraki/OpenHathi-7B-Hi-v0.1-Base-gptq)
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OpenHathi 7B Hi V0.1 Base Gptq Parameters and Internals

Model Type 
llama
Additional Notes 
Files are made using AutoGPTQ with a quantization configuration of 4 bits, group_size: 128, damp_percent: 0.1, desc_act: true. Max length is 1024. This is a base model not tuned for any instructions. Alpaca/Vicuna format works fine.
Supported Languages 
Hindi (supported), English (supported)
Training Details 
Data Sources:
https://huggingface.co/cmeraki/wiki_en_hi
Context Length:
1024
LLM NameOpenHathi 7B Hi V0.1 Base Gptq
Repository 🤗https://huggingface.co/cmeraki/OpenHathi-7B-Hi-v0.1-Base-gptq 
Model NameOpenHathi-7B-Hi-v0.1-Base-gptq
Model CreatorSarvamAI
Base Model(s)  Llama 2 7B Chat Hf   meta-llama/Llama-2-7b-chat-hf
Model Size7b
Required VRAM4.2 GB
Updated2025-09-23
Maintainercmeraki
Model Typellama
Model Files  4.2 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.36.1
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size48064
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than cmeraki/OpenHathi-7B-Hi-v0.1-Base-gptq.

Rank the OpenHathi 7B Hi V0.1 Base Gptq Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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