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Smoke 7B by FourOhFour

 »  All LLMs  »  FourOhFour  »  Smoke 7B   URL Share it on

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  Autotrain compatible Base model:finetune:fourohfour...   Base model:fourohfour/vapor 7b   Conversational   Endpoints compatible   Generated from trainer   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/FourOhFour/Smoke_7B 

Smoke 7B Benchmarks

LLME Score: 0.21874
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Smoke 7B (FourOhFour/Smoke_7B)

Smoke 7B Parameters and Internals

Model Type 
AutoModelForCausalLM
Additional Notes 
The model supports features such as flash attention, gradient checkpointing, and uses optimization strategies like Adam with cosine learning rate scheduling.
Training Details 
Data Sources:
anthracite-org/stheno-filtered-v1.1, Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned, ResplendentAI/bluemoon, openerotica/freedom-rp, anthracite-org/nopm_claude_writing_fixed, MinervaAI/Aesir-Preview, NewEden/c2-prefixed
Context Length:
8192
Hardware Used:
multi-GPU
LLM NameSmoke 7B
Repository 🤗https://huggingface.co/FourOhFour/Smoke_7B 
Base Model(s)  Vapor 7B   FourOhFour/Vapor_7B
Model Size7b
Required VRAM15.2 GB
Updated2025-02-05
MaintainerFourOhFour
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4   0.0 GB
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.45.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<pad>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than FourOhFour/Smoke_7B.

Rank the Smoke 7B 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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