WineryLabs/Winery-LFM2.5-1.2B-GrandCru-GGUF overview
<p align="center" <a href="https://huggingface.co/WineryLabs" <img src="https://winery api zandy.zocomputer.io/card/m/lfm.svg" alt="Winery LFM2.5 1.2B GrandCru…
Runs locally from ~1.16 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Winery-LFM2.5-1.2B-GrandCru-Q8_0.gguf | GGUF | Q8_0 | 1.16 GB | Download |
Model Details
| Model ID | WineryLabs/Winery-LFM2.5-1.2B-GrandCru-GGUF |
|---|---|
| Author | WineryLabs |
| Pipeline | text-generation |
| License | other |
| Base model | LiquidAI/LFM2.5-1.2B-Instruct,huihui-ai/Huihui-LFM2.5-1.2B-Instruct-abliterated,LiquidAI/LFM2.5-1.2B-Base,yasserrmd/GLM4.7-Distill-LFM2.5-1.2B,DavidAU/LFM2.5-1.2B-Instruct-Thinking-Claude-High-Reasoning,DavidAU/LFM2.5-1.2B-MEGABRAIN-Thinking-Claude-Polaris-Deepseek-GLM |
| Last modified | 2026-10-03T09:05:16.000Z |
Model README
---
license: other
license_name: lfm1.0
license_link: https://huggingface.co/LiquidAI/LFM2.5-1.2B-Instruct/blob/main/LICENSE
base_model:
- LiquidAI/LFM2.5-1.2B-Instruct
- huihui-ai/Huihui-LFM2.5-1.2B-Instruct-abliterated
- LiquidAI/LFM2.5-1.2B-Base
- yasserrmd/GLM4.7-Distill-LFM2.5-1.2B
- DavidAU/LFM2.5-1.2B-Instruct-Thinking-Claude-High-Reasoning
- DavidAU/LFM2.5-1.2B-MEGABRAIN-Thinking-Claude-Polaris-Deepseek-GLM
base_model_relation: merge
library_name: gguf
pipeline_tag: text-generation
tags: [gguf, merge, lfm2.5, liquid, winery, llama.cpp, breadcrumbs]
---
<p align="center"><a href="https://huggingface.co/WineryLabs"><img src="https://winery-api-zandy.zocomputer.io/card/m/lfm.svg" alt="Winery LFM2.5-1.2B-GrandCru" width="100%"/></a></p>
🍷 Winery LFM2.5 1.2B · Liquid Grand Cru
A Breadcrumbs merge of five LFM2.5-1.2B fine-tunes on top of LiquidAI's Instruct, blended with the Winery fusion compiler. It's 1.17B params and 1.25 GB at Q8_0. LFM2.5's hybrid conv/attention design makes it one of the fastest models in its class on phone CPUs.
Recipe
Breadcrumbs (density 0.85) over LiquidAI/LFM2.5-1.2B-Instruct, norms averaged linearly:
| Donor | Weight |
|---|---|
| huihui-ai/Huihui-LFM2.5-1.2B-Instruct-abliterated | 1.00 |
| LiquidAI/LFM2.5-1.2B-Base | 0.80 |
| yasserrmd/GLM4.7-Distill-LFM2.5-1.2B | 0.55 |
| DavidAU/LFM2.5-1.2B-Instruct-Thinking-Claude-High-Reasoning | 0.50 |
| DavidAU/LFM2.5-1.2B-MEGABRAIN-Thinking-Claude-Polaris-Deepseek-GLM | 0.45 |
name Liquid Grand Cru
out q8_0
default breadcrumbs 0.85 1.0,0.8,0.55,0.5,0.45
tensor *norm* linear
Scores (local quick bench, 0-shot chat)
MMLU 200 / ARC-Challenge 150 / GSM8K 60 questions, run through llama-server.
| Model | MMLU | ARC-C | GSM8K | Avg |
|---|---|---|---|---|
| Liquid Grand Cru (this) | 40.0 | 62.0 | 78.3 | 60.1 |
| Best donor (Huihui abliterated) | | | | 57.5 |
| LiquidAI/LFM2.5-1.2B-Base | | | | 56.3 |
| LiquidAI/LFM2.5-1.2B-Instruct (stock) | | | | 52.1 |
Small-sample numbers from our own harness, so treat them as directional only.
Use
Works in llama.cpp (builds with LFM2 support), Jan, LM Studio and the Winery app.
llama-cli -m Winery-LFM2.5-1.2B-GrandCru-Q8_0.gguf -cnv
Licensed under the LFM Open License v1.0 inherited from LiquidAI. One donor is abliterated, so it refuses less than stock.
Run WineryLabs/Winery-LFM2.5-1.2B-GrandCru-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models