bananamendr (Python)
Local CPU inference for the BananaMind-2 chat checkpoints — Nano, Mini and
Pro (Preview) — with no PyTorch at runtime. The Rust core reads the published
model.safetensors and tokenizer.json directly. One abi3 wheel serves every
CPython ≥ 3.9.
Greedy decoding is token-exact against Hugging Face transformers.
This module takes paths only — it never downloads anything. For checkpoint
fetching, a config file and an OpenAI-compatible server, install
bananamendy.
pip install bananamendr
import bananamendr
model = bananamendr.Model("ref/BananaMind-2-Nano-Chat")
print(model.config["model_type"], model.config["num_hidden_layers"])
generation = model.chat(
[{"role": "user", "content": "Why is the sky blue?"}],
max_new_tokens=64,
temperature=0.0, # greedy; the Python API defaults to greedy
)
print(generation.text, generation.tokens_per_second)
# Streaming: the callback receives (decoded delta, token id) per step.
model.generate("Once upon a time", on_token=lambda text, token: print(text, end=""))
Also available: tokenize, detokenize, apply_chat_template, logits,
generate_tokens.
License
Apache-2.0
1 maintainer
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