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Alfredplpl Llama 3 8B Instruct Ja HQQ 2bit Smashed by PrunaAI

 »  All LLMs  »  PrunaAI  »  Alfredplpl Llama 3 8B Instruct Ja HQQ 2bit Smashed   URL Share it on

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Alfredplpl Llama 3 8B Instruct Ja HQQ 2bit Smashed is an open-source language model by PrunaAI. Features: 8b LLM, VRAM: 4GB, Context: 8K, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

  2bit   Autotrain compatible Base model:alfredplpl/llama-3-... Base model:finetune:alfredplpl...   Conversational   Endpoints compatible   Instruct   Llama   Pruna-ai   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/PrunaAI/alfredplpl-Llama-3-8B-Instruct-Ja-HQQ-2bit-smashed 

Alfredplpl Llama 3 8B Instruct Ja HQQ 2bit Smashed Benchmarks

LLME Score: 0.14104
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Alfredplpl Llama 3 8B Instruct Ja HQQ 2bit Smashed (PrunaAI/alfredplpl-Llama-3-8B-Instruct-Ja-HQQ-2bit-smashed)
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Alfredplpl Llama 3 8B Instruct Ja HQQ 2bit Smashed Parameters and Internals

Model Type 
text generation
Additional Notes 
The smashed model uses safetensors format. Metrics such as inference speed, memory, and energy consumption are less than 90% of the original base model.
Training Details 
Data Sources:
WikiText
Methodology:
compression with hqq
Input Output 
Input Format:
Input: textual question format
Accepted Modalities:
text
Output Format:
Generated textual responses
Performance Tips:
Test efficiency gains directly in your use-cases.
LLM NameAlfredplpl Llama 3 8B Instruct Ja HQQ 2bit Smashed
Repository 🤗https://huggingface.co/PrunaAI/alfredplpl-Llama-3-8B-Instruct-Ja-HQQ-2bit-smashed 
Base Model(s)  Llama 3 8B Instruct Ja   alfredplpl/Llama-3-8B-Instruct-Ja
Model Size8b
Required VRAM4 GB
Updated2025-08-15
MaintainerPrunaAI
Model Typellama
Instruction-BasedYes
Model Files  4.0 GB
Quantization Type2bit
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.0
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 PrunaAI/alfredplpl-Llama-3-8B-Instruct-Ja-HQQ-2bit-smashed.

Rank the Alfredplpl Llama 3 8B Instruct Ja HQQ 2bit Smashed 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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