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Llama 3 Neural Chat V1 8B by Locutusque

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Llama 3 Neural Chat V1 8B Benchmarks

ARC: 60.84 vs 96.7 (so35)-37.1%
HellaSwag: 84.13 vs 95.3 (gpt4)-11.7%
MMLU: 64.69 vs 88.3 (so35)-26.7%
TruthfulQA: 56.34 vs 59 (gpt4)-4.5%
WinoGrande: 78.22 vs 87.5 (gpt4)-10.6%
GSM8K: 54.81 vs 96.4 (so35)-43.1%
LLME Score: 0.23261
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 3 Neural Chat V1 8B Parameters and Internals

LLM NameLlama 3 Neural Chat V1 8B
Repository 🤗https://huggingface.co/Locutusque/llama-3-neural-chat-v1-8b 
Base Model(s)  Meta Llama 3 8B   meta-llama/Meta-Llama-3-8B
Model Size8b
Required VRAM16.1 GB
Updated2024-09-07
MaintainerLocutusque
Model Typellama
Instruction-BasedYes
Model Files  2.0 GB: 1-of-9   1.9 GB: 2-of-9   2.0 GB: 3-of-9   1.9 GB: 4-of-9   2.0 GB: 5-of-9   1.9 GB: 6-of-9   2.0 GB: 7-of-9   1.3 GB: 8-of-9   1.1 GB: 9-of-9
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3 Neural Chat V1 8B (Locutusque/llama-3-neural-chat-v1-8b)

Quantized Models of the Llama 3 Neural Chat V1 8B

Model
Likes
Downloads
VRAM
Llama 3 Neural Chat V1 8B AWQ275 GB

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... Instruct Gradient 1048K Agent1024K / 16.1 GB161
Note: green Score (e.g. "73.2") means that the model is better than Locutusque/llama-3-neural-chat-v1-8b.

Rank the Llama 3 Neural Chat V1 8B 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 v2024072803
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