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Laguna S 2.1 MLX 6bit by pipenetwork

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Laguna S 2.1 MLX 6bit is an open-source language model by pipenetwork. Features: 117.6b LLM, VRAM: 95.4GB, Context: 1024K, License: openmdw-1.1, Quantized, LLM Explorer Score: 0.34.

  6-bit   6bit Base model:poolside/laguna-s-2... Base model:quantized:poolside/...   Code   Conversational   Custom code   Laguna   Mlx   Moe   Poolside   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/pipenetwork/Laguna-S-2.1-MLX-6bit 

Laguna S 2.1 MLX 6bit Benchmarks

LLME Score: 0.33551
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Laguna S 2.1 MLX 6bit (pipenetwork/Laguna-S-2.1-MLX-6bit)

Laguna S 2.1 MLX 6bit Parameters and Internals

LLM NameLaguna S 2.1 MLX 6bit
Repository 🤗https://huggingface.co/pipenetwork/Laguna-S-2.1-MLX-6bit 
Base Model(s)  poolside/Laguna-S-2.1   poolside/Laguna-S-2.1
Model Size117.6b
Required VRAM95.4 GB
Updated2026-07-23
Maintainerpipenetwork
Model Typelaguna
Model Files  5.1 GB: 1-of-19   5.4 GB: 2-of-19   5.3 GB: 3-of-19   4.8 GB: 4-of-19   5.3 GB: 5-of-19   5.3 GB: 6-of-19   5.3 GB: 7-of-19   4.8 GB: 8-of-19   5.4 GB: 9-of-19   5.4 GB: 10-of-19   4.8 GB: 11-of-19   5.3 GB: 12-of-19   5.3 GB: 13-of-19   5.4 GB: 14-of-19   4.8 GB: 15-of-19   5.4 GB: 16-of-19   5.3 GB: 17-of-19   4.8 GB: 18-of-19   2.2 GB: 19-of-19
Quantization Type6bit
Model ArchitectureLagunaForCausalLM
Licenseopenmdw-1.1
Context Length1048576
Model Max Length1048576
Tokenizer ClassTokenizersBackend
Padding Token〈|PAD|〉
Vocabulary Size100352
Torch Data Typebfloat16

Best Alternatives to Laguna S 2.1 MLX 6bit

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Context / RAM
Downloads
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Laguna S 2.1 MLX 4bit1024K / 65.8 GB4933
Laguna S 2.11024K / 214.2 GB13285496
Laguna S 2.11024K / 214.2 GB404
Note: green Score (e.g. "73.2") means that the model is better than pipenetwork/Laguna-S-2.1-MLX-6bit.

Rank the Laguna S 2.1 MLX 6bit 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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