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Llama33b 16K by chargoddard

 »  All LLMs  »  chargoddard  »  Llama33b 16K   URL Share it on

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  Autotrain compatible Dataset:eleutherai/wikitext do...   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/chargoddard/llama33b-16k 

Llama33b 16K Benchmarks

LLME Score: 0.11617
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama33b 16K (chargoddard/llama33b-16k)

Llama33b 16K Parameters and Internals

Model Type 
base model
Additional Notes 
This is a merged version of llama33b-16k-qlora. It is not an instruct model but rather a base LLaMA with an extended sequence length.
Training Details 
Data Sources:
EleutherAI/wikitext_document_level
Methodology:
fine-tuning with linear ROPE scaling of 8
Context Length:
16000
LLM NameLlama33b 16K
Repository 🤗https://huggingface.co/chargoddard/llama33b-16k 
Model Size30b
Required VRAM65.2 GB
Updated2025-02-22
Maintainerchargoddard
Model Typellama
Model Files  9.8 GB: 1-of-7   10.0 GB: 2-of-7   9.9 GB: 3-of-7   9.9 GB: 4-of-7   9.9 GB: 5-of-7   10.0 GB: 6-of-7   5.7 GB: 7-of-7
Model ArchitectureLlamaForCausalLM
Context Length16384
Model Max Length16384
Transformers Version4.31.0.dev0
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than chargoddard/llama33b-16k.

Rank the Llama33b 16K Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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