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Piecrust/Spike-350M-GGUF overview

<p align="center" <img src="https://huggingface.co/Piecrust/Spike 350M GGUF/resolve/main/banner.png" alt="Spike 350M GGUF" width="100%" </p Spike 350M Spike is…

gguftool-callingfunction-callingpieswapdusktext-generationendenlbase_model:LiquidAI/LFM2.5-350Mbase_model:quantized:LiquidAI/LFM2.5-350Mlicense:otherendpoints_compatibleregion:usconversational

Runs locally from ~210.5 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
451
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Pipeline
text-generation
Author

Repository Files & Downloads

4 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Spike-350M-F16.ggufGGUFF16678.5 MBDownload
Spike-350M-Q4_K_M.ggufGGUFQ4_K_M218.7 MBDownload
Spike-350M-Q4_K_S.ggufGGUFQ4_K_S210.5 MBDownload
Spike-350M-Q5_K_M.ggufGGUFQ5_K_M248.3 MBDownload

Model Details

Model IDPiecrust/Spike-350M-GGUF
AuthorPiecrust
Pipelinetext-generation
Licenseother
Base modelLiquidAI/LFM2.5-350M
Last modified2026-07-15T16:41:38.000Z

Model README

---

license: other

license_name: lfm1.0

license_link: https://huggingface.co/LiquidAI/LFM2.5-350M/blob/main/LICENSE

base_model: LiquidAI/LFM2.5-350M

library_name: gguf

pipeline_tag: text-generation

tags:

- gguf

- tool-calling

- function-calling

- pieswap

- dusk

language:

- en

- de

- nl

thumbnail: https://huggingface.co/Piecrust/Spike-350M-GGUF/resolve/main/banner.png

---

<p align="center">

<img src="https://huggingface.co/Piecrust/Spike-350M-GGUF/resolve/main/banner.png" alt="Spike-350M-GGUF" width="100%">

</p>

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

| File | Use |

|---|---|

| Spike-350M-Q5_K_M.gguf (260 MB) | Production quant on desktop (pieswap.app) |

| Spike-350M-Q4_K_S.gguf (221 MB) | Production quant on mobile — smaller download, faster CPU prompt processing |

| Spike-350M-Q4_K_M.gguf (229 MB) | Alternative quant |

| Spike-350M-F16.gguf (709 MB) | Full-precision source for requantizing |

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)

| Model | Score |

|---|---:|

| LFM2.5-350M base (bf16, thinking off) | ≈50% on the original core set |

| Spike-350M v7 (Q5_K_M, in-browser) | 221/224 on the previous 224-case harness |

| Spike-350M v8 (bf16, merged) | 354/354 (100%) |

| Spike-350M v8 (Q5_K_M, in-browser via wllama) | 354/354 (100%) — under BOTH seeds 42 and 1337, zero flaky |

| Spike-350M v8 (Q4_K_S, in-browser via wllama) | 353/354 — dual-seed; single miss is one out-of-distribution slang phrasing (a settings read routed to wallet-status) |

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.

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