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L3.1 70B Celeste V0.1 BF16 by nothingiisreal

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Dataset:gryphe/sonnet3.5-slimo... Dataset:kalomaze/opus instruct... Dataset:nopm/opus writingstruc... Dataset:nothingiisreal/reddit-...   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nothingiisreal/L3.1-70B-Celeste-V0.1-BF16 

L3.1 70B Celeste V0.1 BF16 Benchmarks

LLME Score: 0.21522
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
L3.1 70B Celeste V0.1 BF16 (nothingiisreal/L3.1-70B-Celeste-V0.1-BF16)

L3.1 70B Celeste V0.1 BF16 Parameters and Internals

Model Type 
Causal Language Model
Use Cases 
Limitations:
Test model, underfit
Additional Notes 
Coherency and intelligence improve significantly with better inputs.
Training Details 
Data Sources:
nothingiisreal/Reddit-Dirty-And-WritingPrompts, Nopm/Opus_WritingStruct, kalomaze/Opus_Instruct_25k, Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
Data Volume:
10,000 rows
Methodology:
Lora+
Context Length:
8192
Training Time:
6 hours
Hardware Used:
4xH100 NVL
Input Output 
Performance Tips:
Coherency and intelligence improve with better initial prompts.
Release Notes 
Version:
V0.1
Notes:
Test model, initial release with underfit settings.
Version:
V1.9
Notes:
Recommended system prompt and sampler adjustments.
LLM NameL3.1 70B Celeste V0.1 BF16
Repository 🤗https://huggingface.co/nothingiisreal/L3.1-70B-Celeste-V0.1-BF16 
Model Size70b
Required VRAM141.9 GB
Updated2025-01-24
Maintainernothingiisreal
Model Typellama
Instruction-BasedYes
Model Files  4.6 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.1 GB: 30-of-30
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.42.3
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 nothingiisreal/L3.1-70B-Celeste-V0.1-BF16.

Rank the L3.1 70B Celeste V0.1 BF16 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  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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