What are the hardware requirements for Spaetzle V60 7B Int4 Inc?

Spaetzle V60 7B Int4 Inc 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 Spaetzle V60 7B Int4 Inc and how large is it?

Spaetzle V60 7B Int4 Inc is developed by cstr, 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 Spaetzle V60 7B Int4 Inc?

Spaetzle V60 7B Int4 Inc is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Spaetzle V60 7B Int4 Inc by cstr — VRAM 4.2GB, 32K context

Name: Spaetzle V60 7B Int4 Inc
Author: cstr

Spaetzle V60 7B Int4 Inc is an open-source language model by cstr. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: cc-by-nc-4.0, LLM Explorer Score: 0.12.

4-bit Abideen/alphamonarch-dora Base model:abideen/alphamonarc... Base model:quantized:abideen/a... Conversational De En Endpoints compatible Gptq Lazymergekit Merge Mergekit Mistral Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/cstr/Spaetzle-v60-7b-int4-inc

Spaetzle V60 7B Int4 Inc Parameters and Internals

Model Type

text generation

Supported Languages

de (local tasks), en (local tasks)

LLM Name	Spaetzle V60 7B Int4 Inc
Repository 🤗	https://huggingface.co/cstr/Spaetzle-v60-7b-int4-inc
Base Model(s)	AlphaMonarch Dora abideen/AlphaMonarch-dora
Model Size	7b
Required VRAM	4.2 GB
Updated	2026-08-03
Maintainer	cstr
Model Type	mistral
Model Files	4.2 GB
Supported Languages	de en
Model Architecture	MistralForCausalLM
License	cc-by-nc-4.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.40.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Spaetzle V60 7B Int4 Inc 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 Spaetzle V60 7B Int4 Inc

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...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than cstr/Spaetzle-v60-7b-int4-inc.