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Sotto Cleanup Lfm25 350M Mlx 5bit by juanquivilla

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Sotto Cleanup Lfm25 350M Mlx 5bit is an open-source language model by juanquivilla. Features: 350m LLM, VRAM: 0.2GB, Context: 125K, License: mit, Quantized, LLM Explorer Score: 0.28.

  5-bit   5bit   Asr-post-processing Base model:juanquivilla/sotto-... Base model:quantized:juanquivi...   Conversational Dataset:juanquivilla/sotto-tra...   En   Lfm   Lfm2   Liquidai   Mlx   Mlx-5bit   Quantized   Region:us   Safetensors   Speech-to-text   Text-correction   Transcript-cleanup
Model Card on HF 🤗: https://huggingface.co/juanquivilla/sotto-cleanup-lfm25-350m-mlx-5bit 

Sotto Cleanup Lfm25 350M Mlx 5bit Benchmarks

LLME Score: 0.28178
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sotto Cleanup Lfm25 350M Mlx 5bit (juanquivilla/sotto-cleanup-lfm25-350m-mlx-5bit)
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Sotto Cleanup Lfm25 350M Mlx 5bit Parameters and Internals

LLM NameSotto Cleanup Lfm25 350M Mlx 5bit
Repository 🤗https://huggingface.co/juanquivilla/sotto-cleanup-lfm25-350m-mlx-5bit 
Base Model(s)  juanquivilla/sotto-cleanup-lfm25-350m   juanquivilla/sotto-cleanup-lfm25-350m
Model Size350m
Required VRAM0.2 GB
Updated2026-05-04
Maintainerjuanquivilla
Model Typelfm2
Model Files  0.2 GB
Supported Languagesen
Quantization Type5bit
Model ArchitectureLfm2ForCausalLM
Licensemit
Context Length128000
Model Max Length128000
Transformers Version5.3.0
Tokenizer ClassTokenizersBackend
Padding Token<|pad|>
Vocabulary Size65536

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LFM2 350M 8bit125K / 0.4 GB16634
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LFM2.5 350M Base125K / 0.7 GB1554611
....5 350M Tool Calling Merged V2125K / 0.7 GB2300
LFM2.5 350M ONNX125K /  GB13224
LFM2 350M125K / 0.7 GB21714248
... Function Calling XLAM Unsloth125K / 0.7 GB5370
LFM2 350M CPT125K / 0.7 GB6320
LFM2.5 350M Home Assistant DPO125K / 0.7 GB980
Note: green Score (e.g. "73.2") means that the model is better than juanquivilla/sotto-cleanup-lfm25-350m-mlx-5bit.

Rank the Sotto Cleanup Lfm25 350M Mlx 5bit 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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