What are the hardware requirements for Solar JEV 27B NVFP4 FP8?

Solar JEV 27B NVFP4 FP8 requires approximately 29.2 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Solar JEV 27B NVFP4 FP8 and how large is it?

Solar JEV 27B NVFP4 FP8 is developed by SargeDev, a model with 27b 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 JEV 27B NVFP4 FP8?

Solar JEV 27B NVFP4 FP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Solar JEV 27B NVFP4 FP8 by SargeDev — VRAM 29.2GB, 256K context

Name: Solar JEV 27B NVFP4 FP8
Author: SargeDev

Solar JEV 27B NVFP4 FP8 is an open-source language model by SargeDev. Features: 27b LLM, VRAM: 29.2GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.29.

Abliterated Base model:quantized:sargedev/... Base model:sargedev/solar-jev-... Calibrated-probabilities Choice Compressed-tensors Conversational Dataset:sargedev/jev-distill-c... Decision-model Fp8 Jev Llm-compressor Noul Nvfp4 Quantized Qwen3.8 Qwen3 5 text Region:us Safetensors Score Sharded Solar-jev System-one Tensorflow Typed-decisions Uncensored

Model Card on HF 🤗: https://huggingface.co/SargeDev/Solar-JEV-27B-NVFP4-FP8

Solar JEV 27B NVFP4 FP8 Parameters and Internals

LLM Name	Solar JEV 27B NVFP4 FP8
Repository 🤗	https://huggingface.co/SargeDev/Solar-JEV-27B-NVFP4-FP8
Base Model(s)	Solar JEV 27B SargeDev/Solar-JEV-27B
Model Size	27b
Required VRAM	29.2 GB
Updated	2026-10-26
Maintainer	SargeDev
Model Type	qwen3_5_text
Model Files	0.0 GB 19.9 GB: 1-of-2 9.3 GB: 2-of-2 0.8 GB
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.16.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Solar JEV 27B NVFP4 FP8 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 JEV 27B NVFP4 FP8

Best Alternatives	Context / RAM	Downloads	Likes
Hemmingway 1	256K / 53.8 GB	12371	880
Hemmingway 1	256K / 53.8 GB	9089	888
JEV 27B	256K / 53.9 GB	178643	79
OrcaSAQ 2 27B	256K / 12.3 GB	1330	169
Qwen3.6 27B OBLITERATED	256K / 53.6 GB	15137	184
Darwin 27B RSI	256K / 53.8 GB	459	14
RAG Gate 27B	256K / 53.8 GB	243	0
Mnma Qwen3.8 27b Nvfp4	256K / 18.8 GB	527	11
Solar JEV 27B R32	256K / 54.6 GB	53	0
...2 Abliterated OptiQ 3.7bpw Mlx	256K / 13.4 GB	6727	14

Note: green Score (e.g. "73.2") means that the model is better than SargeDev/Solar-JEV-27B-NVFP4-FP8.