What are the hardware requirements for BetaMonarch 10.7B?

BetaMonarch 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 BetaMonarch 10.7B and how large is it?

BetaMonarch 10.7B is developed by raincandy-u, 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 BetaMonarch 10.7B?

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

BetaMonarch 10.7B by raincandy-u — VRAM 21.5GB, 32K context

Name: BetaMonarch 10.7B
Author: raincandy-u

BetaMonarch 10.7B is an open-source language model by raincandy-u. Features: 10.7b LLM, VRAM: 21.5GB, Context: 32K, License: apache-2.0, Quantized, Merged, LLM Explorer Score: 0.12.

Merged Model Base model:abideen/alphamonarc... Base model:quantized:abideen/a... Conversational Endpoints compatible Gguf Mistral Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/raincandy-u/BetaMonarch-10.7B

BetaMonarch 10.7B Parameters and Internals

Additional Notes

This model is a merge of pre-trained language models created using mergekit. ## Merge Details ### Merge Method This model was merged using the passthrough merge method. ### Models Merged The following models were included in the merge: * [abideen/AlphaMonarch-dora](https://huggingface.co/abideen/AlphaMonarch-dora) ### Configuration The following YAML configuration was used to produce this model: ```yaml dtype: float16 merge_method: passthrough slices: - sources: - layer_range: [0, 24] model: abideen/AlphaMonarch-dora - sources: - layer_range: [8, 32] model: abideen/AlphaMonarch-dora ```

LLM Name	BetaMonarch 10.7B
Repository 🤗	https://huggingface.co/raincandy-u/BetaMonarch-10.7B
Base Model(s)	AlphaMonarch Dora abideen/AlphaMonarch-dora
Merged Model	Yes
Model Size	10.7b
Required VRAM	21.5 GB
Updated	2026-08-01
Maintainer	raincandy-u
Model Type	mistral
Model Files	8.8 GB 10.0 GB: 1-of-3 10.0 GB: 2-of-3 1.5 GB: 3-of-3
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

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Data Analysis and Insight Generation
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Best Alternatives to BetaMonarch 10.7B

Best Alternatives	Context / RAM	Downloads	Likes
Barely Regal 10.7B GGUF	32K / 6.5 GB	38	0
...l Maid 32K V0.2 A EXL2 Bpw 6.0	32K / 8.2 GB	7	1
Barely Regal 10.7B	32K / 21.5 GB	19	0
Quintellect 10.7B	32K / 21.4 GB	22	3
Chikuma 10.7B	32K / 21.4 GB	131	5
PiVoT 10.7B Mistral V0.2	32K / 21.4 GB	76	5
Longcat 10.7B	32K / 21.5 GB	8	3
Multi Verse Model 10.7B	32K / 21.5 GB	2	1
PrimaSumika 10.7B 128K	32K / 21.5 GB	3	1
... Loyal Mistral Maid 32K V0.2 A	32K / 21.5 GB	3	1

Note: green Score (e.g. "73.2") means that the model is better than raincandy-u/BetaMonarch-10.7B.