ethicalabs/Echo-DSRN-114M-Base
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Model Card for ethicalabs/Echo-DSRN-114M-Base
[!WARNING] This repository contains experimental models designed strictly for academic evaluation and research purposes. Critical Constraints: No Production Deployment: Experimental models must not be deployed in commercial, enterprise, or mission-critical environments under any circumstances. No Liability: Experimental models are provided "as-is" without warranties of any kind. The developers assume zero liability for downstream consequences, system integration failures, or regulatory non-compliance resulting from unauthorized deployment.
The Echo-DSRN(N) (Dual State Recurrent Neural Network, short name: Echo-DSRN, also know as echo) is a novel architecture specifically designed to be a viable alternative for low-resource tasks that are currently being inefficiently handled by the excessive scale of Large Language Models (LLMs) 🌱
⚠️ Important Notice
This is a research prototype and demo model.
- Not production-ready
- Will hallucinate and give incorrect answers
- Do not use for any real-world decisions
- Intended for architecture experimentation only
What Works
- Text generation is fluent
- Memory usage is constant O(1)
- Runs on CPUs, NPUs, GPUs (Tested on AMD's ROCm and Apple's MPS)
What Doesn't Work
- Factual accuracy
- Instruction following
- Common sense reasoning
🏗️ Architecture Details
📊 Parameter Breakdown
🧩 Internal Block Structure (Per Layer)
Pre-Training
Truncated Backpropagation Through Time (TBPTT) on Fineweb-EDU (10BT)
1 epoch on a single AMD Instinct MI300X 192 GB
Continued Pre-Training (SFTTrainer)
1 epoch on a single AMD Radeon AI PRO R9700 32 GB
Evaluation
uv run lm_eval --model hf --model_args pretrained=ethicalabs/Echo-DSRN-114M-Base,trust_remote_code=True,device_map="auto" --tasks sciq,piqa --output_path ./results_Echo-DSRN-114M-Base --batch_size 16 --num_fewshot 5 && uv run lm_eval --model hf --model_args pretrained=ethicalabs/Echo-DSRN-114M-Base,trust_remote_code=True,device_map="auto" --tasks sciq,piqa --output_path ./results_Echo-DSRN-114M-Base --batch_size 16 --num_fewshot 5uv run lm_eval --model hf --model_args pretrained=ethicalabs/Echo-DSRN-114M-Base,trust_remote_code=True,device_map="auto" --tasks sciq,piqa --output_path ./results_Echo-DSRN-114M-Base --batch_size 16 --num_fewshot 5 && uv run lm_eval --model hf --model_args pretrained=ethicalabs/Echo-DSRN-114M-Base,trust_remote_code=True,device_map="auto" --tasks sciq,piqa --output_path ./results_Echo-DSRN-114M-Base --batch_size 16 --num_fewshot 10