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GOAT 70B Storytelling by GOAT-AI

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Model Card on HF 🤗: https://huggingface.co/GOAT-AI/GOAT-70B-Storytelling 

GOAT 70B Storytelling Benchmarks

ARC: 68.77 vs 96.7 (so35)-28.9%
HellaSwag: 87.74 vs 95.3 (gpt4)-7.9%
MMLU: 69.92 vs 88.3 (so35)-20.8%
TruthfulQA: 53.53 vs 59 (gpt4)-9.3%
WinoGrande: 83.5 vs 87.5 (gpt4)-4.6%
GSM8K: 40.79 vs 96.4 (so35)-57.7%
LLME Score: 0.15492
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GOAT 70B Storytelling (GOAT-AI/GOAT-70B-Storytelling)
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GOAT 70B Storytelling Parameters and Internals

LLM NameGOAT 70B Storytelling
Repository 🤗https://huggingface.co/GOAT-AI/GOAT-70B-Storytelling 
Model Size70b
Required VRAM138 GB
Updated2025-09-13
MaintainerGOAT-AI
Model Typellama
Model Files  9.8 GB: 1-of-15   9.8 GB: 2-of-15   10.0 GB: 3-of-15   9.8 GB: 4-of-15   9.8 GB: 5-of-15   9.8 GB: 6-of-15   10.0 GB: 7-of-15   9.8 GB: 8-of-15   9.8 GB: 9-of-15   9.8 GB: 10-of-15   10.0 GB: 11-of-15   9.8 GB: 12-of-15   9.8 GB: 13-of-15   9.5 GB: 14-of-15   0.5 GB: 15-of-15
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the GOAT 70B Storytelling

Model
Likes
Downloads
VRAM
GOAT 70B Storytelling GGUF1226429 GB
GOAT 70B Storytelling GPTQ4535 GB
GOAT 70B Storytelling AWQ2636 GB

Best Alternatives to GOAT 70B Storytelling

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Context / RAM
Downloads
Likes
... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB90695
... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB80785
... 3 70B Instruct Gradient 1048K1024K / 141.9 GB12122
Llama3 Function Calling 1048K1024K / 141.9 GB71
...a 3 70B Instruct Gradient 524K512K / 141.9 GB623
...a 3 70B Instruct Gradient 262K256K / 141.9 GB13456
...ama 3 70B Arimas Story RP V2.0256K / 141.1 GB263
...ama 3 70B Arimas Story RP V1.6256K / 141.2 GB130
...ama 3 70B Arimas Story RP V1.5256K / 141.2 GB423
Yi 70B 200K RPMerge Franken195K / 142.4 GB51
Note: green Score (e.g. "73.2") means that the model is better than GOAT-AI/GOAT-70B-Storytelling.

Rank the GOAT 70B Storytelling 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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