What are the hardware requirements for Meltemi 7B Instruct V1 AWQ?

Meltemi 7B Instruct V1 AWQ requires approximately 4.6 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 Meltemi 7B Instruct V1 AWQ and how large is it?

Meltemi 7B Instruct V1 AWQ is developed by ilsp, a model with 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 Meltemi 7B Instruct V1 AWQ?

Meltemi 7B Instruct V1 AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Meltemi 7B Instruct V1 AWQ by ilsp — VRAM 4.6GB, 32K context

Name: Meltemi 7B Instruct V1 AWQ
Author: ilsp

Meltemi 7B Instruct V1 AWQ is an open-source language model by ilsp. Features: 7b LLM, VRAM: 4.6GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

4-bit Awq Conversational El En Endpoints compatible Finetuned Instruct Mistral Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ilsp/Meltemi-7B-Instruct-v1-AWQ

Meltemi 7B Instruct V1 AWQ Parameters and Internals

Model Type

text generation

Additional Notes

This model version is a quantized version using 4-bit AWQ quantization.

Supported Languages

el (high), en (high)

Input Output

Input Format:

"~~< |system|> Είσαι το Μελτέμι, ένα γλωσσικό μοντέλο για την ελληνική γλώσσα...<|user|> Πες μου αν έχεις συνείδηση."

Accepted Modalities:

text

Output Format:

text

LLM Name	Meltemi 7B Instruct V1 AWQ
Repository 🤗	https://huggingface.co/ilsp/Meltemi-7B-Instruct-v1-AWQ
Base Model(s)	Meltemi 7B Instruct V1 ilsp/Meltemi-7B-Instruct-v1
Model Size	7b
Required VRAM	4.6 GB
Updated	2026-08-03
Maintainer	ilsp
Model Type	mistral
Instruction-Based	Yes
Model Files	4.6 GB
Supported Languages	el en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	<pad>
Vocabulary Size	61520
Torch Data Type	float16

Rank the Meltemi 7B Instruct V1 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 Meltemi 7B Instruct V1 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
...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
Breeze 7B Instruct V1.0 AWQ	32K / 4.6 GB	14	1
Mistral 7B Instruct V0.3 AWQ	32K / 4.2 GB	628	1
Mistral 7B Instruct V0.3 AWQ	32K / 4.2 GB	5	0
...Instruct V0.2 AWQ 4bit Smashed	32K / 4.2 GB	8	1

Note: green Score (e.g. "73.2") means that the model is better than ilsp/Meltemi-7B-Instruct-v1-AWQ.