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Tamil Mistral 7B Instruct V0.1 by Hemanth-thunder

By Hemanth-thunder · 350 downloads
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Tamil Mistral 7B Instruct V0.1 is an open-source language model by Hemanth-thunder. Features: 7b LLM, VRAM: 14.8GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.17, Arc: 27.4, HellaSwag: 27.2, MMLU: 24.4.

Base model:hemanth-thunder/tam... Base model:quantized:hemanth-t...   Chatml Dataset:hemanth-thunder/tamil-...   Distillation   Dpo   Endpoints compatible   Finetuned   Function calling   Gguf   Gpt4   Instruct   Json mode   Mistral   Quantized   Region:us   Rlhf   Safetensors   Sharded   Synthetic data   Ta   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Hemanth-thunder/Tamil-Mistral-7B-Instruct-v0.1 

Tamil Mistral 7B Instruct V0.1 Parameters and Internals

Model Type 
text generation, language understanding
Use Cases 
Areas:
research, text comprehension, instruction-following
Primary Use Cases:
instruction-based interactions in Tamil language
Limitations:
does not have any moderation mechanisms
Considerations:
Should be used in safe environments with necessary moderation.
Additional Notes 
The model can interact in the Tamil language, representing a significant advancement for non-English LLMs.
Supported Languages 
ta (advanced)
Training Details 
Data Sources:
Hemanth-thunder/tamil-open-instruct-v1
Data Volume:
400k instructions
Methodology:
instruction fine-tuning
Training Time:
18 hrs
Hardware Used:
NVIDIA RTX A6000 48GB with batch size of 30
Model Architecture:
Mistral-7B-v0.1 with Grouped-Query Attention, Sliding-Window Attention, Byte-fallback BPE tokenizer
Input Output 
Input Format:
Instruction, Input, and Response structured template
Accepted Modalities:
text
Output Format:
text
LLM NameTamil Mistral 7B Instruct V0.1
Repository 🤗https://huggingface.co/Hemanth-thunder/Tamil-Mistral-7B-Instruct-v0.1 
Base Model(s)  Hemanth-thunder/Tamil-Mistral-7B-v0.1   Hemanth-thunder/Tamil-Mistral-7B-v0.1
Model Size7b
Required VRAM14.8 GB
Updated2026-08-04
MaintainerHemanth-thunder
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   4.9 GB: 2-of-3   4.9 GB: 3-of-3   4.5 GB   5.2 GB
Supported Languagesta
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size50622
Torch Data Typefloat16

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