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Mistral Spoken Telugu by jayasuryajsk

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  4bit   Autotrain compatible   Conversational   Endpoints compatible   Gguf   Instruct   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Mistral Spoken Telugu Benchmarks

LLME Score: 0.21606
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral Spoken Telugu Parameters and Internals

LLM NameMistral Spoken Telugu
Repository 🤗https://huggingface.co/jayasuryajsk/Mistral-spoken-telugu 
Model Size7b
Required VRAM14.4 GB
Updated2024-09-07
Maintainerjayasuryajsk
Model Typemistral
Instruction-BasedYes
Model Files  14.5 GB   4.4 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
GGUF QuantizationYes
Quantization Type4bit|gguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
Mistral Spoken Telugu (jayasuryajsk/Mistral-spoken-telugu)

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Note: green Score (e.g. "73.2") means that the model is better than jayasuryajsk/Mistral-spoken-telugu.

Rank the Mistral Spoken Telugu Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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