What are the hardware requirements for Phonon Refiner 1.7B?

Phonon Refiner 1.7B requires approximately 0.2 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phonon Refiner 1.7B and how large is it?

Phonon Refiner 1.7B is developed by Infatoshi, a model with 1.7b 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 Phonon Refiner 1.7B?

Phonon Refiner 1.7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phonon Refiner 1.7B by Infatoshi — VRAM 0.2GB, 256K context

Name: Phonon Refiner 1.7B
Author: Infatoshi

Phonon Refiner 1.7B is an open-source language model by Infatoshi. Features: 1.7b LLM, VRAM: 0.2GB, Context: 256K, License: other, Quantized, LLM Explorer Score: 0.37.

4-bit Asr-correction Base model:finetune:liquidai/l... Base model:liquidai/lfm3-1.7b Conversational Dictation En Endpoints compatible Gguf Lfm3 Mlx Phonon Q4 Quantized Region:us Safetensors Speech-to-text-postprocessing

Model Card on HF 🤗: https://huggingface.co/Infatoshi/phonon-refiner-1.7b

Phonon Refiner 1.7B Parameters and Internals

LLM Name	Phonon Refiner 1.7B
Repository 🤗	https://huggingface.co/Infatoshi/phonon-refiner-1.7b
Base Model(s)	LiquidAI/LFM3-1.7B LiquidAI/LFM3-1.7B
Model Size	1.7b
Required VRAM	0.2 GB
Updated	2026-11-09
Maintainer	Infatoshi
Model Type	lfm3
Model Files	1.1 GB 1.0 GB 0.2 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_k
Model Architecture	Lfm3ForCausalLM
License	other
Context Length	262144
Model Max Length	262144
Transformers Version	5.19.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>
Vocabulary Size	128000

Rank the Phonon Refiner 1.7B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Phonon Refiner 1.7B

Best Alternatives	Context / RAM	Downloads	Likes
LFM3 1.7B Frontier SmartAgent	512K / 1.1 GB	1824	2
LFM3 1.7B Claude Fable5.1	256K / 1.1 GB	1304	2
Coder Lfm3 1.7B	256K / 1.1 GB	1175	15
LFM3 1.7B Heretic	256K / 0.8 GB	2025	2
...7B Claude Fable5.1 Heretic Ara	256K / 1.1 GB	841	1
EchoPulse 1.7B	256K / 1.1 GB	75	0
LFM3 1.7B MLX 4bit	256K / 1 GB	4944	16
LFM3 1.7B MLX 8bit	256K / 1.8 GB	2348	11
LFM3 1.7B MLX 6bit	256K / 1.4 GB	407	9
LFM3 1.7B MLX 5bit	256K / 1.2 GB	429	7

Note: green Score (e.g. "73.2") means that the model is better than Infatoshi/phonon-refiner-1.7b.