Llama 3.3 8B Instruct 128K Jbliterated by ApolloRaines

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Llama 3.3 8B Instruct 128K Jbliterated is an open-source language model by ApolloRaines. Features: 8b LLM, VRAM: 4.9GB, Context: 128K, License: llama3.1, Quantized, Instruction-Based, LLM Explorer Score: 0.28.

  128k-context Base model:quantized:shb777/ll... Base model:shb777/llama-3.3-8b...   Conversational   De   En   Endpoints compatible   Es   Fr   Gguf   Hi   Instruct   It   Jbliterated   Llama   Llama-3.3   Pt   Q4   Quantized   Region:us   Th   Uncensored

Llama 3.3 8B Instruct 128K Jbliterated Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.3 8B Instruct 128K Jbliterated (ApolloRaines/Llama-3.3-8B-Instruct-128K-Jbliterated)

Llama 3.3 8B Instruct 128K Jbliterated Parameters and Internals

LLM NameLlama 3.3 8B Instruct 128K Jbliterated
Repository 🤗https://huggingface.co/ApolloRaines/Llama-3.3-8B-Instruct-128K-Jbliterated 
Base Model(s)  shb777/Llama-3.3-8B-Instruct-128K   shb777/Llama-3.3-8B-Instruct-128K
Model Size8b
Required VRAM4.9 GB
Updated2026-07-23
MaintainerApolloRaines
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB   5.7 GB   6.6 GB   8.5 GB
Supported Languagesen de fr it pt hi es th
GGUF QuantizationYes
Quantization Typegguf|q4|q4_k|q5_k
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version5.8.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256

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Note: green Score (e.g. "73.2") means that the model is better than ApolloRaines/Llama-3.3-8B-Instruct-128K-Jbliterated.

Rank the Llama 3.3 8B Instruct 128K Jbliterated Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Release v20260328a