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: 0.32.

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 Benchmarks

LLME Score: 0.32017

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

V15 User Logic Json Lr15e6 (lldois/v15_user_logic_json_lr15e6)

🌟 Advertise your project 🚀

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	2026-07-09
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

Best Alternatives to V15 User Logic Json Lr15e6

Best Alternatives	Context / RAM	Downloads	Likes
...ason 0.8B Pretrain Competition	40K / 1.6 GB	6339	23
V07 Final Only Lr2e5	40K / 1.6 GB	291	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.

Rank the V15 User Logic Json Lr15e6 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

What open-source LLMs or SLMs are you in search of? 54931 in total.

Email us: info@extractum.io. Our Privacy Policy | Terms and Conditions | Suggest an improvement.

Our Social Media →

Original data from HuggingFace, OpenCompass and various public git repos.

Check out Ag3ntum — our secure, self-hosted AI agent for server management.

Release v20260328a

Support LLM Explorer

V15 User Logic Json Lr15e6 by lldois

» All LLMs » lldois » V15 User Logic Json Lr15e6 URL Share it on

V15 User Logic Json Lr15e6 Benchmarks

V15 User Logic Json Lr15e6 Parameters and Internals

Best Alternatives to V15 User Logic Json Lr15e6

Rank the V15 User Logic Json Lr15e6 Capabilities

What open-source LLMs or SLMs are you in search of? 54931 in total.