What are the hardware requirements for Sotto Cleanup Lfm25 350M Mlx 5bit?

Sotto Cleanup Lfm25 350M Mlx 5bit requires approximately 0.2 GB of VRAM and supports a context window of 125K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Sotto Cleanup Lfm25 350M Mlx 5bit and how large is it?

Sotto Cleanup Lfm25 350M Mlx 5bit is developed by juanquivilla, a model with 350m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Sotto Cleanup Lfm25 350M Mlx 5bit?

Sotto Cleanup Lfm25 350M Mlx 5bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Sotto Cleanup Lfm25 350M Mlx 5bit by juanquivilla — VRAM 0.2GB, 125K context

Name: Sotto Cleanup Lfm25 350M Mlx 5bit
Author: juanquivilla

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: 0.24.

5-bit 5bit Asr-post-processing Base model:juanquivilla/sotto-... Base model:quantized:juanquivi... Conversational 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 Parameters and Internals

LLM Name	Sotto 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 Size	350m
Required VRAM	0.2 GB
Updated	2026-07-17
Maintainer	juanquivilla
Model Type	lfm2
Model Files	0.2 GB
Supported Languages	en
Quantization Type	5bit
Model Architecture	Lfm2ForCausalLM
License	mit
Context Length	128000
Model Max Length	128000
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	65536

Rank the Sotto Cleanup Lfm25 350M Mlx 5bit capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Best Alternatives to Sotto Cleanup Lfm25 350M Mlx 5bit

Best Alternatives	Context / RAM	Downloads	Likes
LFM2.5 350M MLX 8bit	125K / 0.4 GB	839	13
LFM2.5 350M MLX 4bit	125K / 0.2 GB	405	11
CHEETAH 350M Merged FP16	125K / 0.7 GB	13	0
LFM2.5 350M MLX 6bit	125K / 0.3 GB	108	10
LFM2.5 350M MLX 5bit	125K / 0.3 GB	98	8
LFM2 350M 8bit	125K / 0.4 GB	423	4
LFM2 350M 4bit	125K / 0.2 GB	132	4
LFM2 350M Unsloth Bnb 4bit	32K / 0.3 GB	205	1
Claude Oss 350M	125K / 1.4 GB	841	8
LFM2.5 350M	125K / 0.7 GB	91807	384

Note: green Score (e.g. "73.2") means that the model is better than juanquivilla/sotto-cleanup-lfm25-350m-mlx-5bit.