What are the hardware requirements for MyceLM Qwen3.5 4B LoRA?

MyceLM Qwen3.5 4B LoRA requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MyceLM Qwen3.5 4B LoRA and how large is it?

MyceLM Qwen3.5 4B LoRA is developed by echoproof, a model with 4b 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 MyceLM Qwen3.5 4B LoRA?

MyceLM Qwen3.5 4B LoRA is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MyceLM Qwen3.5 4B LoRA by echoproof — VRAM 0.1GB

Name: MyceLM Qwen3.5 4B LoRA
Author: echoproof

MyceLM Qwen3.5 4B LoRA is an open-source language model by echoproof. Features: 4b LLM, VRAM: 0.1GB, License: apache-2.0, LLM Explorer Score: 0.24.

Adapter Base model:adapter:unsloth/qwe... Base model:unsloth/qwen3.5-4b Conversational En Finetuned Lora Peft Persona Qwen3 Reasoning Region:us Role-play Ru Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/echoproof/MyceLM-Qwen3.5-4B-LoRA

MyceLM Qwen3.5 4B LoRA Parameters and Internals

LLM Name	MyceLM Qwen3.5 4B LoRA
Repository 🤗	https://huggingface.co/echoproof/MyceLM-Qwen3.5-4B-LoRA
Base Model(s)	unsloth/Qwen3.5-4B unsloth/Qwen3.5-4B
Model Size	4b
Required VRAM	0.1 GB
Updated	2026-08-06
Maintainer	echoproof
Model Files	0.1 GB
Supported Languages	en ru
Model Architecture	Adapter
License	apache-2.0
Model Max Length	262144
Is Biased	none
Tokenizer Class	TokenizersBackend
Padding Token	<\|vision_pad\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|down_proj\|q_proj\|o_proj\|k_proj\|gate_proj\|up_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16
Errors	replace

Rank the MyceLM Qwen3.5 4B LoRA 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 MyceLM Qwen3.5 4B LoRA

Best Alternatives	Context / RAM	Downloads	Likes
Qwen Las V0.1	0K / 0 GB	6	0
Norn V15	0K / 0.1 GB	22	1
Qwen Sft Ls V0.1	0K / 0 GB	6	0
Qwen Sft La V0.1	0K / 0 GB	7	0
Qwen Qwen1.5 4B 1719895310	0K / 0 GB	5	0
Qwen Qwen1.5 4B 1719895024	0K / 0 GB	5	0
Qwen Qwen1.5 4B 1719767792	0K / 0.1 GB	3	1
Qwen Qwen1.5 4B 1719767451	0K / 0 GB	5	0
Qwen Qwen1.5 4B 1719767879	0K / 0 GB	5	0
Qwen Qwen1.5 4B 1719767111	0K / 0 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than echoproof/MyceLM-Qwen3.5-4B-LoRA.