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Spaetzle V60 7B Int4 Inc by cstr

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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 Benchmarks

LLME Score: 0.12431
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Spaetzle V60 7B Int4 Inc (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 NameSpaetzle V60 7B Int4 Inc
Repository 🤗https://huggingface.co/cstr/Spaetzle-v60-7b-int4-inc 
Base Model(s)  AlphaMonarch Dora   abideen/AlphaMonarch-dora
Model Size7b
Required VRAM4.2 GB
Updated2026-08-03
Maintainercstr
Model Typemistral
Model Files  4.2 GB
Supported Languagesde en
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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

Rank the Spaetzle V60 7B Int4 Inc Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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