What are the hardware requirements for LMCocktail 10.7B V1 GGUF?

LMCocktail 10.7B V1 GGUF requires approximately 4.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LMCocktail 10.7B V1 GGUF and how large is it?

LMCocktail 10.7B V1 GGUF is developed by TheBloke, 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 LMCocktail 10.7B V1 GGUF?

LMCocktail 10.7B V1 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LMCocktail 10.7B V1 GGUF by TheBloke — VRAM 4.5GB

Name: LMCocktail 10.7B V1 GGUF
Author: TheBloke

LMCocktail 10.7B V1 GGUF is an open-source language model by TheBloke. Features: 10.7b LLM, VRAM: 4.5GB, License: llama2, Quantized, LLM Explorer Score: 0.1.

Arxiv:2311.13534 Base model:quantized:yhyu13/lm... Base model:yhyu13/lmcocktail-1... Conversational Gguf Quantized Region:us Solar

Model Card on HF 🤗: https://huggingface.co/TheBloke/LMCocktail-10.7B-v1-GGUF

LMCocktail 10.7B V1 GGUF Parameters and Internals

Model Type

solar

Additional Notes

Merged using LM-cocktail technique which involves blending the SOLAR and meow models.

Input Output

Input Format:

### System: {system_message} ### User: {prompt} ### Assistant:

LLM Name	LMCocktail 10.7B V1 GGUF
Repository 🤗	https://huggingface.co/TheBloke/LMCocktail-10.7B-v1-GGUF
Model Name	LMCocktail 10.7B v1
Model Creator	Yu
Base Model(s)	Yhyu13/LMCocktail-10.7B-v1 Yhyu13/LMCocktail-10.7B-v1
Model Size	10.7b
Required VRAM	4.5 GB
Updated	2026-08-01
Maintainer	TheBloke
Model Type	solar
Model Files	4.5 GB 5.7 GB 5.2 GB 4.7 GB 6.1 GB 6.5 GB 6.1 GB 7.4 GB 7.6 GB 7.4 GB 8.8 GB 11.4 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	llama2

Rank the LMCocktail 10.7B V1 GGUF 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 LMCocktail 10.7B V1 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Nous Hermes 2 SOLAR 10.7B GGUF	0K / 4.5 GB	4865	113
SOLAR 10.7B Instruct V1.0 GGUF	0K / 4.5 GB	1522	84
Tess 10.7B V1.5B GGUF	0K / 4 GB	242	7
Sensualize Solar 10.7B GGUF	0K / 4.5 GB	488	10
OPEN SOLAR KO 10.7B GGUF	0K / 4.1 GB	104	1
Lumosia MoE 4x10.7 GGUF	0K / 12 GB	397	6
CarbonVillain En 10.7B V4 GGUF	0K / 4.5 GB	504	6
...VoT 10.7B Mistral V0.2 RP GGUF	0K / 4.5 GB	665	9
Solar 10.7B SLERP GGUF	0K / 4.5 GB	339	13
Frostwind 10.7B V1 GGUF	0K / 4.5 GB	266	4

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/LMCocktail-10.7B-v1-GGUF.