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Llama3 8B Spaetzle V20 by cstr

 »  All LLMs  »  cstr  »  Llama3 8B Spaetzle V20   URL Share it on

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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%
TruthfulQA: 60.98 vs 59 (gpt4)3.4%
WinoGrande: 78.37 vs 87.5 (gpt4)-10.4%
GSM8K: 67.02 vs 96.4 (so35)-30.5%
LLME Score: 0.17686
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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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
Updated2025-06-09
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
Llama3 8B Spaetzle V20 (cstr/llama3-8b-spaetzle-v20)

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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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Release v20241124
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