Marcoroni Neural Chat 7B V1 by Toten5

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Marcoroni Neural Chat 7B V1 Benchmarks

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

Marcoroni Neural Chat 7B V1 Parameters and Internals

LLM NameMarcoroni Neural Chat 7B V1
Repository ๐Ÿค—https://huggingface.co/Toten5/Marcoroni-neural-chat-7B-v1 
Model Size7b
Required VRAM14.4 GB
Updated2024-10-18
MaintainerToten5
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
Marcoroni Neural Chat 7B V1 (Toten5/Marcoroni-neural-chat-7B-v1)

Quantized Models of the Marcoroni Neural Chat 7B V1

Model
Likes
Downloads
VRAM
...rcoroni Neural Chat 7B V1 GGUF31103 GB
...rcoroni Neural Chat 7B V1 GPTQ254 GB
...arcoroni Neural Chat 7B V1 AWQ134 GB

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Note: green Score (e.g. "73.2") means that the model is better than Toten5/Marcoroni-neural-chat-7B-v1.

Rank the Marcoroni Neural Chat 7B V1 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803