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Poe 4B by FourOhFour

 »  All LLMs  »  FourOhFour  »  Poe 4B   URL Share it on

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  Autotrain compatible Base model:finetune:interviten... Base model:intervitensinc/llam...   Conversational   Endpoints compatible   Generated from trainer   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/FourOhFour/Poe_4B 

Poe 4B Benchmarks

LLME Score: 0.21176
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Poe 4B (FourOhFour/Poe_4B)

Poe 4B Parameters and Internals

Model Type 
AutoModelForCausalLM
Training Details 
Data Sources:
PocketDoc/Dans-MemoryCore-CoreCurriculum-Small, NewEden/Kalo-Opus-Instruct-22k-Refusal-Murdered, Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned, NewEden/Gryphe-Sonnet-3.5-35k-Subset, anthracite-org/stheno-filtered-v1.1, Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned, ResplendentAI/bluemoon, openerotica/freedom-rp, jeiku/Nitral_Medical_Dialog_Fixed, MinervaAI/Aesir-Preview, jeiku/jeikutxt, ResplendentAI/Sissification_Hypno_1k, ResplendentAI/theory_of_mind_fixed_output, ResplendentAI/Synthetic_Soul_1k
Methodology:
chatml and alpaca conversation types, sequence length 8192, trained with Axolotl version 0.4.1 and multi-GPU distributed training
Context Length:
8192
Hardware Used:
multi-GPU, 2 devices
LLM NamePoe 4B
Repository 🤗https://huggingface.co/FourOhFour/Poe_4B 
Base Model(s)  IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml   IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml
Model Size4b
Required VRAM9 GB
Updated2025-02-22
MaintainerFourOhFour
Model Typellama
Model Files  5.0 GB: 1-of-2   4.0 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.45.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than FourOhFour/Poe_4B.

Rank the Poe 4B 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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Release v20241227
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