Scorched2/shader-v2
041
Hierarchical Reasoning Model (HRM)
Custom MoE language model with 3-level hierarchical reasoning and DeepSeek-V3 memory strategies.
Architecture: 3 levels · 16 experts (4 active) · MLA attention · Hierarchical memory Parameters: ~350M total, ~45M active per token Trained on: OpenHermes-2.5
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("Scorched2/shader-v2", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("Scorched2/shader-v2")
inputs = tokenizer("### Instruction:\nExplain AI.\n\n### Response:\n", return_tensors="pt")
out = model.generate(**inputs, max_new_tokens=200)
print(tokenizer.decode(out[0]))