What are the hardware requirements for RA Reasoner?

RA Reasoner requires approximately 20.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed RA Reasoner and how large is it?

RA Reasoner is developed by Daemontatox, a model with 10b 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 RA Reasoner?

RA Reasoner is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

RA Reasoner by Daemontatox — VRAM 20.5GB, 32K context

Name: RA Reasoner
Author: Daemontatox

RA Reasoner is an open-source language model by Daemontatox. Features: 10b LLM, VRAM: 20.5GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.24.

Autotrain compatible Base model:finetune:tiiuae/fal... Base model:tiiuae/falcon3-10b-... Conversational En Endpoints compatible Instruct Llama Model-index Pytorch Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/Daemontatox/RA_Reasoner

RA Reasoner Parameters and Internals

LLM Name	RA Reasoner
Repository 🤗	https://huggingface.co/Daemontatox/RA_Reasoner
Base Model(s)	Falcon3 10B Instruct tiiuae/Falcon3-10B-Instruct
Model Size	10b
Required VRAM	20.5 GB
Updated	2025-10-13
Maintainer	Daemontatox
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-5 4.9 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 0.9 GB: 5-of-5
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	131072
Torch Data Type	float16

Rank the RA Reasoner 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 RA Reasoner

Best Alternatives	Context / RAM	Downloads	Likes
Falcon3 10B Instruct	32K / 20.5 GB	7371	117
Falcon3 10B Tensopolis V2	32K / 20.5 GB	8	0
Falcon3 10B Tensopolis V1	32K / 20.5 GB	5	0
...essi V0.2 Falcon3 10B Instruct	32K / 20.5 GB	8	0
FalconThink3 10B IT	32K / 20.5 GB	6	3
BuddyGlassUncensored2025.2	32K / 20.5 GB	11	4
...essi V0.1 Falcon3 10B Instruct	32K / 20.5 GB	12	0
Eyas 17B Instruct	32K / 34.8 GB	63	0
Barcenas 10B	32K / 20.5 GB	12	1
Falcon3Slerp2 10B	32K / 20.5 GB	5	0

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