Llama7b Ictu V2 by gingdev

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  Autotrain compatible   Conversational   Dataset:gingdev/ictu-lecturers Dataset:gingdev/vihealthqa-sma...   Endpoints compatible   Gguf   License:mit   Llama   Llamafile   Q4   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Vi

Rank the Llama7b Ictu V2 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  
Llama7b Ictu V2 (gingdev/llama7b-ictu-v2)

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Note: green Score (e.g. "73.2") means that the model is better than gingdev/llama7b-ictu-v2.

Llama7b Ictu V2 Parameters and Internals

LLM NameLlama7b Ictu V2
RepositoryOpen on ๐Ÿค— 
Model Size7b
Required VRAM13.8 GB
Model Typellama
Model Files  4.2 GB   5.0 GB: 1-of-3   5.0 GB: 2-of-3   3.8 GB: 3-of-3
Supported Languagesvi
GGUF QuantizationYes
Quantization Typeq4|gguf|q4_k
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<|im_end|>
Vocabulary Size46305
Initializer Range0.02
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801