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Todd Proxy LoRA 7B by autobots

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Model Card on HF 🤗: https://huggingface.co/autobots/Todd_Proxy_LoRA_7b 

Todd Proxy LoRA 7b Benchmarks

LLME Score: 0.08303
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Todd Proxy LoRA 7B (autobots/Todd_Proxy_LoRA_7b)
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Todd Proxy LoRA 7B Parameters and Internals

Additional Notes 
Significant changes in interaction. V1 indicated overfitting with increase in 'master' terminology, V2 improvement noted in model strength with dedicated training set and settings adjustments.
Training Details 
Data Sources:
100k dumped messages from 'chan' todd proxy
Methodology:
Trained for 3 epochs on 4-bit precision. Overfitting after 3, ideally should have been 2 epochs. V2 version trained at higher rank and longer context (512) on unique data with removed content warnings.
Context Length:
512
Model Architecture:
llama-7b architecture with 4-bit and FP16 testing.
Release Notes 
Version:
V1
Notes:
Trained with non-deduped dataset causing overfitting, more dependence on 'master' terminology.
Version:
V2
Notes:
Trained on higher rank, longer context with unique data, excluding content-related issues, resulting in stronger model performance.
LLM NameTodd Proxy LoRA 7b
Repository 🤗https://huggingface.co/autobots/Todd_Proxy_LoRA_7b 
Model Size7b
Required VRAM0.1 GB
Updated2025-09-23
Maintainerautobots
Model Files  0.1 GB
Model ArchitectureAdapter
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha64
LoRA Dropout0.05
R Param32

Quantized Models of the Todd Proxy LoRA 7B

Model
Likes
Downloads
VRAM
LLaMA 7B 2bit5142 GB
Llama 7B 8bit0107 GB
LLaMA 7B 4bit 32g1154 GB
Llama 7B 4bit Act223 GB
Llama 7B 4bit13153 GB

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Note: green Score (e.g. "73.2") means that the model is better than autobots/Todd_Proxy_LoRA_7b.

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Release v20241124
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