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L3.3 Exp Unnamed Model 70B V0.5 by TheSkullery

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L3.3 Exp Unnamed Model 70B V0.5 is an open-source language model by TheSkullery. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, License: llama3.3, LLM Explorer Score: 0.19.

  Autotrain compatible Base model:finetune:theskuller... Base model:theskullery/l3.1x3....   Conversational   Endpoints compatible   Llama   Merge   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheSkullery/L3.3-exp-unnamed-model-70b-v0.5 

L3.3 Exp Unnamed Model 70B V0.5 Benchmarks

LLME Score: 0.19442
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
L3.3 Exp Unnamed Model 70B V0.5 (TheSkullery/L3.3-exp-unnamed-model-70b-v0.5)
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L3.3 Exp Unnamed Model 70B V0.5 Parameters and Internals

LLM NameL3.3 Exp Unnamed Model 70B V0.5
Repository 🤗https://huggingface.co/TheSkullery/L3.3-exp-unnamed-model-70b-v0.5 
Base Model(s)  TheSkullery/L3.1x3.3-DS-Hydroblated-R1-70B-v4.1   TheSkullery/L3.1x3.3-DS-Hydroblated-R1-70B-v4.1
Model Size70b
Required VRAM141.9 GB
Updated2025-02-20
MaintainerTheSkullery
Model Typellama
Model Files  4.7 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.0 GB: 30-of-30
Model ArchitectureLlamaForCausalLM
Licensellama3.3
Context Length131072
Model Max Length131072
Transformers Version4.48.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Rank the L3.3 Exp Unnamed Model 70B V0.5 Capabilities

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Instruction Following and Task Automation  
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