What are the hardware requirements for SnowLotus V2.10.7B?

SnowLotus V2.10.7B requires approximately 21.4 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed SnowLotus V2.10.7B and how large is it?

SnowLotus V2.10.7B is developed by BlueNipples, 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.

How does SnowLotus V2.10.7B perform on standard benchmarks?

SnowLotus V2.10.7B has the following published scores: MMLU 64.1. Compare against reference models on this page or on the LLM Explorer leaderboards.

SnowLotus V2.10.7B by BlueNipples — VRAM 21.4GB, 4K context

Name: SnowLotus V2.10.7B
Author: BlueNipples

SnowLotus V2.10.7B is an open-source language model by BlueNipples. Features: 10.7b LLM, VRAM: 21.4GB, Context: 4K, License: apache-2.0, Merged, LLM Explorer Score: 0.12, Arc: 64.8, HellaSwag: 85.3, MMLU: 64.1, GSM8K: 48.8.

Merged Model Endpoints compatible Llama Mistral Region:us Roleplay Safetensors Sharded Solar Tensorflow

Model Card on HF 🤗: https://huggingface.co/BlueNipples/SnowLotus-v2-10.7B

SnowLotus V2.10.7B Parameters and Internals

Model Type

Text Generation, Roleplay

Additional Notes

The model merges technologies (Solar, Frostwind, Frostmaid) to improve prose and intelligence for open-source RP models.

Training Details

Methodology:

Slerp merge between a smart model and a good prose model, incorporating Solar, Frostwind, and Frostmaid components.

Input Output

Input Format:

Alpaca instruct formatting

Performance Tips:

Use MinP or DynaTemp samplers to minimize repetition. Suitable for 4k context but may work up to 8k.

LLM Name	SnowLotus V2.10.7B
Repository 🤗	https://huggingface.co/BlueNipples/SnowLotus-v2-10.7B
Merged Model	Yes
Model Size	10.7b
Required VRAM	21.4 GB
Updated	2026-08-25
Maintainer	BlueNipples
Model Type	llama
Model Files	1.9 GB: 1-of-11 2.0 GB: 2-of-11 2.0 GB: 3-of-11 1.9 GB: 4-of-11 2.0 GB: 5-of-11 1.9 GB: 6-of-11 2.0 GB: 7-of-11 1.9 GB: 8-of-11 2.0 GB: 9-of-11 1.9 GB: 10-of-11 1.9 GB: 11-of-11
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the SnowLotus V2.10.7B 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 SnowLotus V2.10.7B

Best Alternatives	Context / RAM	Downloads	Likes
SOLAR 10.7B Instruct V1.0 128K	128K / 21.4 GB	57	3
SOLAR 10.7B V1.0 Instruct 16K	16K / 21.4 GB	63	2
SOLAR 10.7B V1.0 Base 16K	16K / 21.4 GB	69	0
SauerkrautLM SOLAR Instruct	8K / 21.4 GB	62	46
PiVoT SOLAR 10.7B RP	8K / 21.4 GB	54	7
Fimbulvetr V2 Kuro Lotus Bf16	8K / 21.5 GB	6	4
MetaModelv2	8K / 21.4 GB	197	0
Kazemi 1.2 Solar	8K / 21.4 GB	0	0
Bucharest 0.2	5K / 21.4 GB	6	1
Solarmer3	4K / 21.4 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than BlueNipples/SnowLotus-v2-10.7B.