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ray0rf1re/
lfm2.5-ADA-GGUF

Name: lfm2.5-ADA-GGUF
Availability: InStock

LiquidAI/LFM2.5-1.2B-Thinking

adapter

endpoints_compatible

conversational

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lfm2.5-ADA-GGUF

GGUF quantizations of ray0rf1re/lfm2.5-ADA-merged — the ray0rf1re/lfm2.5-ADA LoRA adapter merged into its base model LiquidAI/LFM2.5-1.2B-Thinking — converted and quantized with llama.cpp.

Files

Quant	Size	Notes
Q4_K_M	697.04 MB	Smallest / fastest. Best choice for low-RAM or CPU-only inference (e.g. this pipeline's target, an i7-7660U). Some quality loss vs f16, usually not noticeable in casual chat.
Q5_K_M	804.29 MB	Middle ground — noticeably better quality than Q4_K_M for a modest size/speed cost. Good default if you have the RAM to spare.
Q6_K	918.24 MB	Largest / highest quality of the three, very close to f16 output. Use this if quality matters more than footprint or speed.

If you're not sure which to grab: Q4_K_M for speed/low RAM, Q6_K if you want quality closest to the unquantized model, Q5_K_M as a middle ground.

Usage (llama.cpp)

bash

# CLI chat
llama-cli -m lfm2.5-ADA-GGUF-Q4_K_M.gguf -p "Hello!" -cnv

# OpenAI-compatible local server
llama-server -m lfm2.5-ADA-GGUF-Q4_K_M.gguf -c 4096

Also works directly in LM Studio, Ollama (via a Modelfile pointing at the .gguf), and any other llama.cpp-based runtime.

Provenance

Base model: LiquidAI/LFM2.5-1.2B-Thinking
LoRA adapter: ray0rf1re/lfm2.5-ADA
Merged full-precision model: ray0rf1re/lfm2.5-ADA-merged
Quantized with: llama.cpp, convert_hf_to_gguf.py (f16) → llama-quantize

Persona benchmark

Automated persona-fidelity benchmark against same-size reference models (see persona_bench.py for methodology). Heuristic score is free/deterministic keyword+repetition scoring; no LLM-judge pass was run for this benchmark.

Model	Avg heuristic (0-1)	Degenerate outputs
lfm2.5-ADA-GGUF-Q4_K_M (ours)	0.558	0 / 8
lfm2.5-ADA-GGUF-Q5_K_M (ours)	0.532	0 / 8
lfm2.5-ADA-GGUF-Q6_K (ours)	0.557	0 / 8
LFM2.5-1.2B-Thinking (base)	0.731	0 / 8
LFM2.5-350M	0.618	0 / 8
Qwen3-0.6B (~0.8B params)	0.736	0 / 8

ray0rf1re/lfm2.5-ADA-GGUF