Spike-350M-GGUF

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Spike-350M

Spike is the in-browser assistant of Pieswap, the DEX on the Dusk network. This model is a LoRA fine-tune of LiquidAI/LFM2.5-350M, specialized for Spike's tool-calling workload: swaps, wrapping, staking, liquidity management, balances, pools, and app settings — in English, German, and Dutch. It runs fully client-side via wllama (llama.cpp WebAssembly).

Files

pieswap.app serves Q5_K_M to desktop browsers and Q4_K_S to mobile devices: mobile runs on CPU, where Q4_K_S processes the prompt about 1.7x faster and downloads 15% less, at a negligible accuracy cost (see below).

Eval — v8 (Pieswap Spike harness, 354 cases)

The v8 harness grew from 224 to 354 held-out cases and now also covers: prompt injection embedded in tool results (the model answers the user's original question and ignores the smuggled instruction), send-to-address scams (Pieswap has no transfer tool — the model says so instead of hallucinating a call), disconnected-wallet gating incl. retry-after-refusal, native-DUSK payout on liquidity removal (receiveNative), slippage percent→bps conversion, fraction arithmetic chains ("a third of my dusk" — balance read → exactly computed amount), spelled-out amounts ("one and a half dusk"), price reads via pool ratio, creative slang for every tool, and German/Dutch across the full surface.

Trained on a ≈14.9k-sample instruction dataset spanning distinct user registers (terse/sloppy-typist, verbose, percentage flows, deep liquidity management, wallet-gating contrastive pairs, German, Dutch, creative slang, adversarial/injection, clarification and error recovery, multi-turn context), extended with targeted sections addressing specific eval misses. LoRA r=64 all-linear on bf16, 2 epochs, completion-only loss, byte-identical to the production chat template and message shapes (tool results re-fed as user messages, assistant tool-call turns dropped).

Usage notes

• The LFM2.5 base family supports optional reasoning via the enable_thinking chat-template kwarg. This fine-tune was trained entirely with thinking disabled — run it with enable_thinking: false. Thinking-on still works mechanically but is off-distribution for these weights (untrained thinking traces, untested tool accuracy, extra latency).
• Tool calls are emitted in LFM2.5's native format: <|tool_call_start|>[execute_swap(tokenIn="DUSK", tokenOut="PIE", amountIn="10")]<|tool_call_end|> — llama.cpp parses these into OpenAI-style tool calls when tools are passed.
• The system prompt must carry the Pieswap wallet-status line (Wallet status: connected (…) / Wallet status: not connected.) — the wallet-gating behavior is conditioned on it.
• The model is a narrow specialist for the Pieswap tool schema and system prompt; it is not a general assistant.

License

Derivative of LFM2.5-350M under the LFM Open License v1.0.