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Llama3 8B Spaetzle V20 by cstr

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Llama3 8B Spaetzle V20 is an open-source language model by cstr. Features: 8b LLM, VRAM: 16GB, Context: 8K, License: llama3, Merged, LLM Explorer Score: 0.14, Arc: 70.4, HellaSwag: 85.7, MMLU: 68.5, GSM8K: 67.

  Merged Model Base model:finetune:nbeerbower... Base model:nbeerbower/llama-3-...   Conversational   De   En   Endpoints compatible   Llama Nbeerbower/llama-3-wissenschaf...   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cstr/llama3-8b-spaetzle-v20 

Llama3 8B Spaetzle V20 Benchmarks

ARC: 70.39 vs 96.7 (so35)-27.2%
HellaSwag: 85.69 vs 95.3 (gpt4)-10.1%
MMLU: 68.52 vs 88.3 (so35)-22.4%
GSM8K: 67.02 vs 96.4 (so35)-30.5%
LLME Score: 0.13844
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 8B Spaetzle V20 (cstr/llama3-8b-spaetzle-v20)
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Llama3 8B Spaetzle V20 Parameters and Internals

Model Type 
merge, mergekit, lazymergekit
Supported Languages 
English (native), German (native)
Input Output 
Input Format:
JSON format for prompts with roles and content
Accepted Modalities:
text
Output Format:
Generated text based on input prompts
Performance Tips:
For optimal performance, use appropriate hardware and configure parameters like temperature and top_k according to task requirements.
LLM NameLlama3 8B Spaetzle V20
Repository 🤗https://huggingface.co/cstr/llama3-8b-spaetzle-v20 
Base Model(s)  Llama 3 Wissenschaft 8B V2   nbeerbower/llama-3-wissenschaft-8B-v2
Merged ModelYes
Model Size8b
Required VRAM16 GB
Updated2026-05-05
Maintainercstr
Model Typellama
Model Files  1.1 GB: 1-of-9   1.9 GB: 2-of-9   2.0 GB: 3-of-9   1.9 GB: 4-of-9   2.0 GB: 5-of-9   1.9 GB: 6-of-9   2.0 GB: 7-of-9   1.9 GB: 8-of-9   1.3 GB: 9-of-9
Supported Languagesen de
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than cstr/llama3-8b-spaetzle-v20.

Rank the Llama3 8B Spaetzle V20 Capabilities

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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  
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