What are the hardware requirements for V15 User Logic Json Lr15e6?

V15 User Logic Json Lr15e6 requires approximately 1.6 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed V15 User Logic Json Lr15e6 and how large is it?

V15 User Logic Json Lr15e6 is developed by lldois, a model with 0.8b 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 V15 User Logic Json Lr15e6?

V15 User Logic Json Lr15e6 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

V15 User Logic Json Lr15e6 by lldois — VRAM 1.6GB, 40K context

Name: V15 User Logic Json Lr15e6
Author: lldois

V15 User Logic Json Lr15e6 is an open-source language model by lldois. Features: 0.8b LLM, VRAM: 1.6GB, Context: 40K, License: other, LLM Explorer Score: 0.27.

Base model:finetune:openonerec... Base model:openonerec/onereaso... Conversational Endpoints compatible Full Generated from trainer Llama-factory Qwen3 Region:us Safetensors Tensorboard

Model Card on HF 🤗: https://huggingface.co/lldois/v15_user_logic_json_lr15e6

V15 User Logic Json Lr15e6 Parameters and Internals

LLM Name	V15 User Logic Json Lr15e6
Repository 🤗	https://huggingface.co/lldois/v15_user_logic_json_lr15e6
Base Model(s)	OpenOneRec/OneReason-0.8B-pretrain-competition OpenOneRec/OneReason-0.8B-pretrain-competition
Model Size	0.8b
Required VRAM	1.6 GB
Updated	2026-07-13
Maintainer	lldois
Model Type	qwen3
Model Files	1.6 GB 0.0 GB
Model Architecture	Qwen3ForCausalLM
License	other
Context Length	40960
Model Max Length	40960
Transformers Version	5.6.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	176253
Errors	replace

Rank the V15 User Logic Json Lr15e6 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 V15 User Logic Json Lr15e6

Best Alternatives	Context / RAM	Downloads	Likes
...ason 0.8B Pretrain Competition	40K / 1.6 GB	37745	27
V07 Final Only Lr2e5	40K / 1.6 GB	291	0
V12 User Cot Focus Lr15e6	40K / 1.6 GB	63	0
Qupus Tts 0.8Bs	32K / 1.2 GB	86	0

Note: green Score (e.g. "73.2") means that the model is better than lldois/v15_user_logic_json_lr15e6.