What are the hardware requirements for SOLAR 10B Nector DPO Jawade?

SOLAR 10B Nector DPO Jawade requires approximately 42.9 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 10B Nector DPO Jawade and how large is it?

SOLAR 10B Nector DPO Jawade is developed by bhavinjawade, a model with 10b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does SOLAR 10B Nector DPO Jawade perform on standard benchmarks?

SOLAR 10B Nector DPO Jawade has the following published scores: MMLU 66.22. Compare against reference models on this page or on the LLM Explorer leaderboards.

SOLAR 10B Nector DPO Jawade by bhavinjawade — VRAM 42.9GB, 4K context

Name: SOLAR 10B Nector DPO Jawade
Author: bhavinjawade

SOLAR 10B Nector DPO Jawade is an open-source language model by bhavinjawade. Features: 10b LLM, VRAM: 42.9GB, Context: 4K, License: mit, LLM Explorer Score: 0.11, Arc: 71.3, HellaSwag: 88.6, MMLU: 66.2, GSM8K: 64.6.

Conversational Dataset:intel/orca dpo pairs Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/bhavinjawade/SOLAR-10B-Nector-DPO-Jawade

SOLAR 10B Nector DPO Jawade Parameters and Internals

Model Type

DPO optimized, aligned

Training Details

Data Sources:

Intel/orca_dpo_pairs, Berkeley-nest Nectar

Methodology:

LoRA

LLM Name	SOLAR 10B Nector DPO Jawade
Repository 🤗	https://huggingface.co/bhavinjawade/SOLAR-10B-Nector-DPO-Jawade
Model Size	10b
Required VRAM	42.9 GB
Updated	2026-07-04
Maintainer	bhavinjawade
Model Type	llama
Model Files	5.0 GB: 1-of-9 4.9 GB: 2-of-9 5.0 GB: 3-of-9 5.0 GB: 4-of-9 4.8 GB: 5-of-9 5.0 GB: 6-of-9 5.0 GB: 7-of-9 4.8 GB: 8-of-9 3.4 GB: 9-of-9
Model Architecture	LlamaForCausalLM
License	mit
Context Length	4096
Model Max Length	4096
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float32

Rank the SOLAR 10B Nector DPO Jawade capabilities

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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

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Note: green Score (e.g. "73.2") means that the model is better than bhavinjawade/SOLAR-10B-Nector-DPO-Jawade.