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Operating-Organism codebase and context. The model has been stabilized using standard AdamW (moving away from the structural collapse caused by the Continuous Vote Descent optimizer) and is fully ready for both Python inference and UEFI bare-metal execution.mono250m_sft_live.pt: The PyTorch state dictionary (Continuous bfloat16 AdamW weights).mono250m_sft_live_bf16.bin: The 1GB native bfloat16 continuous payload tailored for bare-metal UEFI loading.state-spaces/mamba2-370m, you must load the base architecture first and inject these weights.1import torch
2from transformers import AutoTokenizer
3from mamba_ssm.models.mixer_seq_simple import MambaLMHeadModel
4from huggingface_hub import hf_hub_download
5
6# 1. Load Tokenizer & Base Architecture
7tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neox-20b")
8model = MambaLMHeadModel.from_pretrained("state-spaces/mamba2-370m", dtype=torch.bfloat16, device="cuda")
9
10# 2. Download and Inject the Custom Weights
11ckpt_path = hf_hub_download(repo_id="batteryphil/besticandofornow", filename="mono250m_sft_live.pt")
12ckpt = torch.load(ckpt_path, map_location='cuda', weights_only=False)
13model.load_state_dict(ckpt['state_dict'], strict=True)
14model.eval()
15
16# 3. Generate!
17prompt = "User: Explain the purpose of the Operating-Organism kernel.\n\nAssistant:"
18inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
19
20with torch.no_grad():
21 outputs = model.generate(
22 input_ids=inputs.input_ids,
23 max_length=128,
24 temperature=0.7,
25 top_p=0.9,
26 repetition_penalty=1.1,
27 eos_token_id=tokenizer.eos_token_id
28 )
29
30print(tokenizer.decode(outputs[0], skip_special_tokens=True)).bin file which is formatted for zero-copy high-memory loading (0x100000000ULL).mono250m_sft_live_bf16.bin:wget https://huggingface.co/batteryphil/besticandofornow/resolve/main/mono250m_sft_live_bf16.binllm-baremetal directory):1dd if=mono250m_sft_live_bf16.bin of=model_shard0.bin bs=1M count=1024 status=progress
2dd if=mono250m_sft_live_bf16.bin of=model_shard1.bin bs=1M skip=1024 count=1024 status=progress
3dd if=mono250m_sft_live_bf16.bin of=model_shard2.bin bs=1M skip=2048 status=progress./make_image.sh./run_kvm.shbfloat16 instructions in the UEFI environment, bypassing the need for discrete PRIME quantization grids.