Llama 3 Orca 1.0 8B AWQ by solidrust

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  4-bit   Autotrain compatible   Awq Base model:locutusque/llama-3-... Base model:quantized:locutusqu...   Conversational Dataset:jondurbin/airoboros-3....   Dataset:m-a-p/code-feedback Dataset:maziyarpanahi/wizardlm... Dataset:microsoft/orca-math-wo... Dataset:open-orca/slimorca-ded...   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 Orca 1.0 8B AWQ Benchmarks

nn.n% โ€” How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sponsored by Nebius

Llama 3 Orca 1.0 8B AWQ Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is fine-tuned mainly on SlimOrca and other datasets to enhance its capabilities in math, coding, and writing, with significant performance in writing and coding tasks. It is also intended for use in conversational AI.
LLM NameLlama 3 Orca 1.0 8B AWQ
Repository ๐Ÿค—https://huggingface.co/solidrust/Llama-3-Orca-1.0-8B-AWQ 
Base Model(s)  Locutusque/Llama-3-Orca-1.0-8B   Locutusque/Llama-3-Orca-1.0-8B
Model Size8b
Required VRAM5.8โ€ฏGB
Updated2025-01-21
Maintainersolidrust
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than solidrust/Llama-3-Orca-1.0-8B-AWQ.

Rank the Llama 3 Orca 1.0 8B AWQ Capabilities

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Instruction Following and Task Automation  
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Factuality and Completeness of Knowledge  
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Censorship and Alignment  
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Data Analysis and Insight Generation  
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Text Generation  
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Text Summarization and Feature Extraction  
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Code Generation  
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Multi-Language Support and Translation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227