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Misal 7B Instruct V0.1 by smallstepai

 »  All LLMs  »  smallstepai  »  Misal 7B Instruct V0.1   URL Share it on

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  Autotrain compatible   Conversational Dataset:ai4bharat/indicparaphr... Dataset:ai4bharat/indicquestio... Dataset:ai4bharat/indicsentime... Dataset:smallstepai/marathi-in...   Endpoints compatible   Instruct   Llama   Marathi   Mr   Paraphrasing   Reading comprehension   Region:us   Safetensors   Sentiment analysis   Sharded   Tensorflow   Translation
Model Card on HF 🤗: https://huggingface.co/smallstepai/Misal-7B-instruct-v0.1 

Misal 7B Instruct V0.1 Benchmarks

LLME Score: 0.13982
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Misal 7B Instruct V0.1 (smallstepai/Misal-7B-instruct-v0.1)
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Misal 7B Instruct V0.1 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Applications:
sentiment analysis, reading comprehension, paraphrasing, translation
Supported Languages 
mr (Marathi)
Input Output 
Input Format:
instruction and input structure with system prompt
Accepted Modalities:
text
Output Format:
text response
Performance Tips:
Responses should be socially conscious and avoid misinformation.
LLM NameMisal 7B Instruct V0.1
Repository 🤗https://huggingface.co/smallstepai/Misal-7B-instruct-v0.1 
Model Size7b
Required VRAM13.8 GB
Updated2025-09-23
Maintainersmallstepai
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   3.8 GB: 3-of-3
Supported Languagesmr
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size47104
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than smallstepai/Misal-7B-instruct-v0.1.

Rank the Misal 7B Instruct V0.1 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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Release v20241124
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