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Llama 3.3 SuperSwallowX 70B Instruct V0.1 by nitky

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Llama 3.3 SuperSwallowX 70B Instruct V0.1 is an open-source language model by nitky. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, License: cc-by-nc-sa-4.0, Instruction-Based, LLM Explorer Score: 0.17.

  Arxiv:2403.19522 Base model:axcxept/llama-3.1-7... Base model:cyberagent/llama-3.... Base model:dislab/summllama3.1... Base model:hitachi-nlp/llama-3... Base model:hpai-bsc/llama3.1-a... Base model:marcelbinz/llama-3.... Base model:merge:axcxept/llama... Base model:merge:cyberagent/ll... Base model:merge:dislab/summll... Base model:merge:hitachi-nlp/l... Base model:merge:hpai-bsc/llam... Base model:merge:marcelbinz/ll... Base model:merge:meta-llama/ll... Base model:merge:meta-llama/ll... Base model:merge:nitky/llama-3... Base model:merge:skywork/skywo... Base model:merge:tokyotech-llm... Base model:meta-llama/llama-3.... Base model:meta-llama/llama-3.... Base model:nitky/llama-3.3-sup... Base model:skywork/skywork-cri... Base model:tokyotech-llm/llama... Base model:tokyotech-llm/llama...   Chat   Conversational   En   Endpoints compatible   Instruct   Ja   Llama   Merge   Mergekit   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1 

Llama 3.3 SuperSwallowX 70B Instruct V0.1 Benchmarks

LLME Score: 0.17171
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 SuperSwallowX 70B Instruct V0.1 (nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1)
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Llama 3.3 SuperSwallowX 70B Instruct V0.1 Parameters and Internals

LLM NameLlama 3.3 SuperSwallowX 70B Instruct V0.1
Repository 🤗https://huggingface.co/nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1 
Base Model(s)  AXCXEPT/Llama-3.1-70B-EZO-1.1-it   cyberagent/Llama-3.1-70B-Japanese-Instruct-2407   DISLab/SummLlama3.1-70B   hitachi-nlp/Llama-3.1-70B-FLDx2   HPAI-BSC/Llama3.1-Aloe-Beta-70B   marcelbinz/Llama-3.1-Centaur-70B   nitky/Llama-3.3-SuperSwallow-70B-Instruct-v0.1   Skywork/Skywork-Critic-Llama-3.1-70B   tokyotech-llm/Llama-3.1-Swallow-70B-v0.1   tokyotech-llm/Llama-3.1-Swallow-70B-Instruct-v0.1   meta-llama/Llama-3.1-70B   meta-llama/Llama-3.1-70B-Instruct   AXCXEPT/Llama-3.1-70B-EZO-1.1-it   cyberagent/Llama-3.1-70B-Japanese-Instruct-2407   DISLab/SummLlama3.1-70B   hitachi-nlp/Llama-3.1-70B-FLDx2   HPAI-BSC/Llama3.1-Aloe-Beta-70B   marcelbinz/Llama-3.1-Centaur-70B   nitky/Llama-3.3-SuperSwallow-70B-Instruct-v0.1   Skywork/Skywork-Critic-Llama-3.1-70B   tokyotech-llm/Llama-3.1-Swallow-70B-v0.1   tokyotech-llm/Llama-3.1-Swallow-70B-Instruct-v0.1   meta-llama/Llama-3.1-70B   meta-llama/Llama-3.1-70B-Instruct
Model Size70b
Required VRAM141.9 GB
Updated2026-03-29
Maintainernitky
Model Typellama
Instruction-BasedYes
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
Supported Languagesja en
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-sa-4.0
Context Length131072
Model Max Length131072
Transformers Version4.47.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Llama 3.1 70B Instruct128K / 141.9 GB1008029904
Note: green Score (e.g. "73.2") means that the model is better than nitky/Llama-3.3-SuperSwallowX-70B-Instruct-v0.1.

Rank the Llama 3.3 SuperSwallowX 70B Instruct V0.1 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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