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T VisStar 7B V0.1 by 1TuanPham

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  Autotrain compatible   Conversational Dataset:1tuanpham/kto-mix-14k-... Dataset:1tuanpham/t-visstar-da... Dataset:1tuanpham/t-visstar-fi... Dataset:1tuanpham/vietnamese-m...   En   Endpoints compatible   Mergekit   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow   Trl   Uncensored   Unsloth   Vi

T VisStar 7B V0.1 Benchmarks

MMLU Pro: 24.56
GPQA: 4.7
MUSR: 13.55
BBH: 30.24
IFEval: 36.07 vs 88 (so35)-59%
MATH Lvl 5: 4.53
LLME Score: 0.32898
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

T VisStar 7B V0.1 Parameters and Internals

LLM NameT VisStar 7B V0.1
Repository 🤗https://huggingface.co/1TuanPham/T-VisStar-7B-v0.1 
Model Size7b
Required VRAM15 GB
Updated2024-10-04
Maintainer1TuanPham
Model Typemistral
Model Files  0.8 GB: 1-of-17   0.9 GB: 2-of-17   0.9 GB: 3-of-17   0.9 GB: 4-of-17   0.9 GB: 5-of-17   0.9 GB: 6-of-17   0.9 GB: 7-of-17   0.9 GB: 8-of-17   0.9 GB: 9-of-17   0.9 GB: 10-of-17   0.9 GB: 11-of-17   0.9 GB: 12-of-17   0.9 GB: 13-of-17   0.9 GB: 14-of-17   0.9 GB: 15-of-17   0.9 GB: 16-of-17   0.7 GB: 17-of-17
Supported Languagesen vi
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.0
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size38372
Torch Data Typefloat16
T VisStar 7B V0.1 (1TuanPham/T-VisStar-7B-v0.1)

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

Rank the T VisStar 7B 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  
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Release v2024072803
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