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Llama 33B Instructed by Secbone

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Llama 33B Instructed is an open-source language model by Secbone. Features: 33b LLM, VRAM: 65.2GB, Context: 2K, License: gpl-3.0, Quantized, HF Score: 58.2, LLM Explorer Score: 0.14, Arc: 64.6, HellaSwag: 86.2, MMLU: 60.5, TruthfulQA: 44.1, WinoGrande: 79.3, GSM8K: 14.4.

  Endpoints compatible   F16   Fp16   Ggml   Gguf   Llama   Pytorch   Q5   Q5 1   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Secbone/llama-33B-instructed 

Llama 33B Instructed Benchmarks

ARC: 64.59 vs 96.7 (so35)-33.2%
HellaSwag: 86.17 vs 95.3 (gpt4)-9.6%
MMLU: 60.5 vs 88.3 (so35)-31.5%
TruthfulQA: 44.12 vs 59 (gpt4)-25.2%
WinoGrande: 79.32 vs 87.5 (gpt4)-9.3%
GSM8K: 14.4 vs 96.4 (so35)-85.1%
LLME Score: 0.13578
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 33B Instructed (Secbone/llama-33B-instructed)
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Llama 33B Instructed Parameters and Internals

Model Type 
text generation, instruction-following
LLM NameLlama 33B Instructed
Repository 🤗https://huggingface.co/Secbone/llama-33B-instructed 
Model Size33b
Required VRAM65.2 GB
Updated2026-04-10
MaintainerSecbone
Model Typellama
Model Files  5.4 GB   5.4 GB   5.4 GB   5.4 GB   5.4 GB   5.4 GB   5.4 GB   5.4 GB   5.4 GB   5.4 GB   5.4 GB   5.4 GB   0.6 GB   5.4 GB   5.4 GB   5.4 GB   5.4 GB   2.9 GB   5.4 GB   5.4 GB   5.4 GB   5.4 GB   5.4 GB   5.4 GB   2.4 GB   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   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
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typefp16|ggml|q5|q5_1|gguf|f16|q8_0
Model ArchitectureLlamaForCausalLM
Licensegpl-3.0
Context Length2048
Model Max Length2048
Transformers Version4.33.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Secbone/llama-33B-instructed.

Rank the Llama 33B Instructed 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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