What are the hardware requirements for Ghost 7B Alpha AWQ?

Ghost 7B Alpha AWQ requires approximately 4.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ghost 7B Alpha AWQ and how large is it?

Ghost 7B Alpha AWQ is developed by ghost-x, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Ghost 7B Alpha AWQ perform on standard benchmarks?

Ghost 7B Alpha AWQ has the following published scores: MMLU 50.71. Compare against reference models on this page or on the LLM Explorer leaderboards.

Ghost 7B Alpha AWQ by ghost-x — VRAM 4.2GB, 32K context

Name: Ghost 7B Alpha AWQ
Author: ghost-x

Ghost 7B Alpha AWQ is an open-source language model by ghost-x. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: other, Quantized, LLM Explorer Score: 0.14, Arc: 54.9, HellaSwag: 76.1, MMLU: 50.7, GSM8K: 47.7.

4-bit Awq Chat Conversational En Endpoints compatible Ghost Mistral Quantized Region:us Safetensors Tools Vi

Model Card on HF 🤗: https://huggingface.co/ghost-x/ghost-7b-alpha-awq

Ghost 7B Alpha AWQ Parameters and Internals

Model Type

language model, text generation

Use Cases

Areas:

reasoning, multi-tasking, function tools

Applications:

virtual assistants, coding, translation, answering questions, creating documents

Additional Notes

Large language model focusing on optimizing reasoning, multi-task knowledge, and tool support, efficient, open, and cheap.

Supported Languages

languages_supported (English, Vietnamese), proficiency_level ()

Training Details

Methodology:

Fine-tuned

Context Length:

8192

Model Architecture:

Transformer-based architecture

LLM Name	Ghost 7B Alpha AWQ
Repository 🤗	https://huggingface.co/ghost-x/ghost-7b-alpha-awq
Base Model(s)	Ghost 7B Alpha ghost-x/ghost-7b-alpha
Model Size	7b
Required VRAM	4.2 GB
Updated	2026-08-08
Maintainer	ghost-x
Model Type	mistral
Model Files	4.2 GB
Supported Languages	en vi
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	MistralForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Ghost 7B Alpha AWQ 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 Ghost 7B Alpha AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Mistral 7B Instruct V0.2 AWQ	32K / 4.2 GB	6	0
Mistral 7B Instruct V0.2 AWQ	32K / 4.2 GB	298182	52
Mistral 7B Instruct V0.3 AWQ	32K / 4.2 GB	5633	10
Mistral 7B Instruct V0.1 AWQ	32K / 4.2 GB	15461	2
Tess 7B V2.0 AWQ	32K / 4.2 GB	1	1
...reeze 7B 32K Instruct V1.0 AWQ	32K / 4.7 GB	9	0
Breeze 7B Instruct V1.0 AWQ	32K / 4.6 GB	5	0
OpenHermes 2.5 Mistral 7B AWQ	32K / 4.2 GB	23691	21
NSFW DPO Noromaid 7B AWQ	32K / 4.2 GB	206	2
Mahou 1.3a Mistral 7B AWQ	32K / 4.2 GB	13	1

Note: green Score (e.g. "73.2") means that the model is better than ghost-x/ghost-7b-alpha-awq.