MODEL PROFILE

LFM2.5-8B-A1B-DSpark-GGUF

LiquidAI · LFM2.5-8B-A1B-DSpark-GGUF

GGUF build of `LiquidAI/LFM2.5-8B-A1B-DSpark` for **llama.cpp** (DSpark speculative decoding is in mainline, ggml-org/llama.cpp #25173). This is a standalone **draft sidecar**: it carries only the drafter (5 attention layers, rank-256 Markov head, confidence head, block size 9). Token embeddings and the LM head are shared from the target model at load time, so it must be paired with a LFM2.5-8B-A1B-GGUF target file. Draft quantization changes speed only marginally (the drafter is a small share of each cycle); choose by memory budget. The target model quant is the main speed/quality lever and is independent of this file. The block size is read from the sidecar metadata (n-max is clamped to it). Speculative decoding is **exact**: the target verifies every proposed token, so greedy output equals the target alone; per-response `timings` report `draft_n` / `draft_n_accepted`.

Text generationlicense:other
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/10/31 05:34:01
OVERVIEW

Model overview

GGUF build of `LiquidAI/LFM2.5-8B-A1B-DSpark` for **llama.cpp** (DSpark speculative decoding is in mainline, ggml-org/llama.cpp #25173). This is a standalone **draft sidecar**: it carries only the drafter (5 attention layers, rank-256 Markov head, confidence head, block size 9). Token embeddings and the LM head are shared from the target model at load time, so it must be paired with a LFM2.5-8B-A1B-GGUF target file. Draft quantization changes speed only marginally (the drafter is a small share of each cycle); choose by memory budget. The target model quant is the main speed/quality lever and is independent of this file. The block size is read from the sidecar metadata (n-max is clamped to it). Speculative decoding is **exact**: the target verifies every proposed token, so greedy output equals the target alone; per-response `timings` report `draft_n` / `draft_n_accepted`.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

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Sources & traceability

许可证:other。模型介绍与第三方评测均以原来源的具体版本和方法为准。