What are the hardware requirements for Barely Regal 10.7B?

Barely Regal 10.7B requires approximately 21.5 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 Barely Regal 10.7B and how large is it?

Barely Regal 10.7B is developed by sydonayrex, a model with 10.7b 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 Barely Regal 10.7B?

Barely Regal 10.7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Barely Regal 10.7B by sydonayrex — VRAM 21.5GB, 32K context

Name: Barely Regal 10.7B
Author: sydonayrex

Barely Regal 10.7B is an open-source language model by sydonayrex. Features: 10.7b LLM, VRAM: 21.5GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.12.

Autotrain compatible Base model:finetune:sydonayrex... Base model:sydonayrex/ai-m3-10... Conversational En Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/sydonayrex/Barely-Regal-10.7B

Barely Regal 10.7B Parameters and Internals

Model Type

text generation

Training Details

Methodology:

Layer merging and fine-tuning using SFT and further training with DPO or ORPO

Model Architecture:

Supersized using task arithmetic and fine-tuned with Unsloth

LLM Name	Barely Regal 10.7B
Repository 🤗	https://huggingface.co/sydonayrex/Barely-Regal-10.7B
Base Model(s)	sydonayrex/AI-M3-10.7Bv2 sydonayrex/AI-M3-10.7Bv2
Model Size	10.7b
Required VRAM	21.5 GB
Updated	2024-12-13
Maintainer	sydonayrex
Model Type	mistral
Model Files	5.0 GB: 1-of-5 5.0 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 1.7 GB: 5-of-5
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.41.2
Tokenizer Class	LlamaTokenizer
Padding Token	[control_768]
Vocabulary Size	32768
Torch Data Type	bfloat16

Rank the Barely Regal 10.7B capabilities

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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

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