---

license: other

library_name: llama.cpp

tags:

• gguf
• llama.cpp
• text-generation
• forge-1

base_model: North-ML1/Forge-1

---

!forge random image for style, idk why just why not

Forge-1 GGUF

GGUF exports for North-ML1/Forge-1.

Files:

• forge-1-f16.gguf - F16 GGUF export.
• forge-1-q4_k_m.gguf - Q4_K_M quantized GGUF for practical local inference.

Source model: North-ML1/Forge-1, moved from North-ML1/Forge-1-Base.

Conversion notes:

• Converted with llama.cpp from the Hugging Face safetensors export.
• The model uses a locally trained ByteLevel BPE tokenizer. Current llama.cpp did not recognize its tokenizer hash, so the converter was patched to mark this ByteLevel BPE tokenizer as gpt-2 pre-tokenization.
• A smoke test with llama-cli loaded forge-1-q4_k_m.gguf and answered 2 + 2 = 4.

Example:

llama-cli -m forge-1-q4_k_m.gguf -p '<|im_start|>user\nWhat is 2 + 2?<|im_end|>\n<|im_start|>assistant\n' -n 32 --temp 0

SHA256:

56b5f16b11e742e82874f11f5db20bc9be497793626989a5ed4000108773a87c  forge-1-f16.gguf
2272f246381687462abac21a8f9b8cda1d891fa0cdba22d45c16f77c7527c51c  forge-1-q4_k_m.gguf

Prompt Format

Forge-1 is ChatML-tuned. Use a ChatML prompt, for example:

<|im_start|>user
What is 2 + 2?<|im_end|>
<|im_start|>assistant

Plain completion prompts are not reliable for this checkpoint. If your UI has a chat-template selector, choose ChatML.