What are the hardware requirements for SOLAR 10.7B Instruct V1.0 GPTQ?

SOLAR 10.7B Instruct V1.0 GPTQ requires approximately 6 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 SOLAR 10.7B Instruct V1.0 GPTQ and how large is it?

SOLAR 10.7B Instruct V1.0 GPTQ 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 SOLAR 10.7B Instruct V1.0 GPTQ?

SOLAR 10.7B Instruct V1.0 GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SOLAR 10.7B Instruct V1.0 GPTQ by TheBloke — VRAM 6GB, 4K context

Name: SOLAR 10.7B Instruct V1.0 GPTQ
Author: TheBloke

SOLAR 10.7B Instruct V1.0 GPTQ is an open-source language model by TheBloke. Features: 10.7b LLM, VRAM: 6GB, Context: 4K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.1.

4-bit Base model:quantized:upstage/s... Base model:upstage/solar-10.7b... Conversational Gptq Instruct Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/SOLAR-10.7B-Instruct-v1.0-GPTQ

SOLAR 10.7B Instruct V1.0 GPTQ Parameters and Internals

Model Type

solar

Training Details

Model Architecture:

Built on the Llama2 architecture, integrated Mistral 7B weights into upscaled layers

Input Output

Input Format:

### User: {prompt} ### Assistant:

Accepted Modalities:

text

Output Format:

text

LLM Name	SOLAR 10.7B Instruct V1.0 GPTQ
Repository 🤗	https://huggingface.co/TheBloke/SOLAR-10.7B-Instruct-v1.0-GPTQ
Model Name	Solar 10.7B Instruct v1.0
Model Creator	upstage
Base Model(s)	upstage/SOLAR-10.7B-Instruct-v1.0 upstage/SOLAR-10.7B-Instruct-v1.0
Model Size	10.7b
Required VRAM	6 GB
Updated	2026-05-27
Maintainer	TheBloke
Model Type	solar
Instruction-Based	Yes
Model Files	6.0 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the SOLAR 10.7B Instruct V1.0 GPTQ 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 SOLAR 10.7B Instruct V1.0 GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...uerkrautLM SOLAR Instruct GPTQ	8K / 6 GB	8	2
Sakura SOLAR Instruct GPTQ	4K / 6 GB	2	3
SOLAR 10.7B Instruct V1.0 GPTQ	4K / 6 GB	4	2
...rautLM UNA SOLAR Instruct GPTQ	4K / 6 GB	6	3
...UNA SOLARkrautLM Instruct GPTQ	4K / 6 GB	8	2
... 10.7B Instruct V1.0 128K EXL2	128K / 5.6 GB	5	1
... Instruct V1.0 Uncensored GPTQ	4K / 6 GB	71	13
Eclectus 1.1 Dedup	4K / 21.4 GB	5	0
Eclectus1.1	4K / 21.4 GB	6	0
Solar 10.7B SLERP EXL2	4K / 5.6 GB	11	4

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/SOLAR-10.7B-Instruct-v1.0-GPTQ.