Llama2 7B Hindi Finetuned by subhrokomol

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Llama2 7B Hindi Finetuned is an open-source language model by subhrokomol. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: apache-2.0, Fine-Tuned, LLM Explorer Score: 0.15.

Base model:finetune:meta-llama... Base model:meta-llama/llama-2-...   Code Dataset:zicsx/mc4-hindi-cleane...   En   Endpoints compatible   Finetuned   Hi   Llama   Region:us   Safetensors   Sharded   Tensorflow

Llama2 7B Hindi Finetuned Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama2 7B Hindi Finetuned Parameters and Internals

LLM NameLlama2 7B Hindi Finetuned
Repository 🤗https://huggingface.co/subhrokomol/Llama2-7B-Hindi-finetuned 
Base Model(s)  Llama 2 7B Hf   meta-llama/Llama-2-7b-hf
Model Size7b
Required VRAM13.5 GB
Updated2026-04-23
Maintainersubhrokomol
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesen hi
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizerFast
Padding Token<pad>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than subhrokomol/Llama2-7B-Hindi-finetuned.

Rank the Llama2 7B Hindi Finetuned Capabilities

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Instruction Following and Task Automation  
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Release v20260328a