What are the hardware requirements for Tess 10.7B V1.5B GGUF?

Tess 10.7B V1.5B GGUF requires approximately 4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tess 10.7B V1.5B GGUF and how large is it?

Tess 10.7B V1.5B 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 Tess 10.7B V1.5B GGUF?

Tess 10.7B V1.5B GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tess 10.7B V1.5B GGUF by TheBloke — VRAM 4GB

Name: Tess 10.7B V1.5B GGUF
Author: TheBloke

Tess 10.7B V1.5B GGUF is an open-source language model by TheBloke. Features: 10.7b LLM, VRAM: 4GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

Base model:migtissera/tess-10.... Base model:quantized:migtisser... Gguf Quantized Region:us Solar

Model Card on HF 🤗: https://huggingface.co/TheBloke/Tess-10.7B-v1.5b-GGUF

Tess 10.7B V1.5B GGUF Parameters and Internals

Model Type

solar

Additional Notes

This model includes quantized versions provided by TheBloke, with various levels of compression and quality. Quantized with hardware from Massed Compute and uses GGUF format introduced by llama.cpp.

Input Output

Input Format:

SYSTEM: {system_message} USER: {prompt} ASSISTANT:

LLM Name	Tess 10.7B V1.5B GGUF
Repository 🤗	https://huggingface.co/TheBloke/Tess-10.7B-v1.5b-GGUF
Model Name	Tess 10.7B V1.5B
Model Creator	Migel Tissera
Base Model(s)	migtissera/Tess-10.7B-v1.5b migtissera/Tess-10.7B-v1.5b
Model Size	10.7b
Required VRAM	4 GB
Updated	2026-07-29
Maintainer	TheBloke
Model Type	solar
Model Files	4.0 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	apache-2.0

Rank the Tess 10.7B V1.5B 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 Tess 10.7B V1.5B 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
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
LMCocktail 10.7B V1 GGUF	0K / 4.5 GB	296	5
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/Tess-10.7B-v1.5b-GGUF.