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Jalwa Latest Run Pretrain 10K by Ornaments

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Jalwa Latest Run Pretrain 10K is an open-source language model by Ornaments. Features: 1.5b LLM, VRAM: 5.7GB, Context: 128K, LLM Explorer Score: 0.18.

  Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Ornaments/Jalwa-latest-run-pretrain-10k 

Jalwa Latest Run Pretrain 10K Benchmarks

LLME Score: 0.17989
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Jalwa Latest Run Pretrain 10K (Ornaments/Jalwa-latest-run-pretrain-10k)
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Jalwa Latest Run Pretrain 10K Parameters and Internals

LLM NameJalwa Latest Run Pretrain 10K
Repository 🤗https://huggingface.co/Ornaments/Jalwa-latest-run-pretrain-10k 
Model Size1.5b
Required VRAM5.7 GB
Updated2025-09-20
MaintainerOrnaments
Model Typeqwen2
Model Files  5.0 GB: 1-of-2   0.7 GB: 2-of-2   2.9 GB   0.0 GB   0.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassPreTrainedTokenizer
Padding Token<|endoftext|>
Vocabulary Size81920
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than Ornaments/Jalwa-latest-run-pretrain-10k.

Rank the Jalwa Latest Run Pretrain 10K 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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