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Llama 3 8B Instruct Gradient 1048K AWQ by solidrust

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  4-bit   Autotrain compatible   Awq Base model:gradientai/llama-3-... Base model:quantized:gradienta...   Conversational   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/solidrust/Llama-3-8B-Instruct-Gradient-1048k-AWQ 

Llama 3 8B Instruct Gradient 1048K AWQ Benchmarks

ARC: 54.44 vs 96.7 (so35)-43.7%
HellaSwag: 76.77 vs 95.3 (gpt4)-19.4%
MMLU: 61.92 vs 88.3 (so35)-29.9%
TruthfulQA: 49.26 vs 59 (gpt4)-16.5%
WinoGrande: 72.3 vs 87.5 (gpt4)-17.4%
GSM8K: 44.35 vs 96.4 (so35)-54%
LLME Score: 0.21441
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B Instruct Gradient 1048K AWQ (solidrust/Llama-3-8B-Instruct-Gradient-1048k-AWQ)

Llama 3 8B Instruct Gradient 1048K AWQ Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
business operations, autonomous assistants
Applications:
custom AI models, business-critical operations
Primary Use Cases:
text generation, business assistance
Limitations:
only supported on Linux and Windows, with NVidia GPUs
Considerations:
Not suitable for macOS; recommended to use GGUF models instead
Additional Notes 
Generated with less than 0.01% of original pre-training data, using Suparious quantization
Training Details 
Data Sources:
>original Llama-3 8B, custom data from gradientai
Data Volume:
1.4B tokens total for all stages
Methodology:
Trained to extend context length appropriately adjusting RoPE theta
Context Length:
1048000
Model Architecture:
LLama-3 with extended context length
Input Output 
Input Format:
Specify prompt within an appropriate template
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Use the AWQ quantized model for better efficiency on supported GPUs
LLM NameLlama 3 8B Instruct Gradient 1048K AWQ
Repository 🤗https://huggingface.co/solidrust/Llama-3-8B-Instruct-Gradient-1048k-AWQ 
Base Model(s)  ...a 3 8B Instruct Gradient 1048K   gradientai/Llama-3-8B-Instruct-Gradient-1048k
Model Size8b
Required VRAM5.8 GB
Updated2024-12-21
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
Context Length1048576
Model Max Length1048576
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
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-3-8B-Instruct-Gradient-1048k-AWQ.

Rank the Llama 3 8B Instruct Gradient 1048K AWQ 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 v20241217
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