chore(model-gallery): ⬆️ update checksum (#10081)

⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
This commit is contained in:
LocalAI [bot]
2026-05-30 00:11:57 +02:00
committed by GitHub
parent 74281be340
commit b389f0fe5f

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@@ -3,29 +3,7 @@
url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
urls:
- https://huggingface.co/LiquidAI/LFM2.5-8B-A1B-GGUF
description: |
Try LFM •
Docs •
LEAP •
Discord
# LFM2.5-8B-A1B
LFM2.5 is a new family of hybrid models designed for on-device deployment. It builds on the LFM2 architecture with extended pre-training and reinforcement learning.
- **On-device personal assistant**: Designed to power real-life applications, chaining tool calls, and following complex instructions on all devices.
- **Compressed performance**: Competitive with much larger dense and MoE models on instruction following and agentic tasks.
- **Unmatched throughput**: Fastest in its size class on both CPU and GPU inference, with day-one support for llama.cpp, MLX, vLLM, and SGLang.
Find more information about LFM2.5-8B-A1B in our blog post.
**AA-Omniscience Index (higher is better) rewards correct answers and penalizes hallucinations. Scores range from -100 to 100. See more results on Artificial Analysis.*
## 🗒️ Model Details
LFM2.5-8B-A1B is a general-purpose text-only model with the following features:
...
description: "Try LFM •\nDocs •\nLEAP •\nDiscord\n\n# LFM2.5-8B-A1B\n\nLFM2.5 is a new family of hybrid models designed for on-device deployment. It builds on the LFM2 architecture with extended pre-training and reinforcement learning.\n\n - **On-device personal assistant**: Designed to power real-life applications, chaining tool calls, and following complex instructions on all devices.\n - **Compressed performance**: Competitive with much larger dense and MoE models on instruction following and agentic tasks.\n - **Unmatched throughput**: Fastest in its size class on both CPU and GPU inference, with day-one support for llama.cpp, MLX, vLLM, and SGLang.\n\nFind more information about LFM2.5-8B-A1B in our blog post.\n\n**AA-Omniscience Index (higher is better) rewards correct answers and penalizes hallucinations. Scores range from -100 to 100. See more results on Artificial Analysis.*\n\n## \U0001F5D2 Model Details\n\nLFM2.5-8B-A1B is a general-purpose text-only model with the following features:\n\n...\n"
license: "other"
tags:
- llm
@@ -52,8 +30,8 @@
use_tokenizer_template: true
files:
- filename: llama-cpp/models/LFM2.5-8B-A1B-GGUF/LFM2.5-8B-A1B-Q4_K_M.gguf
sha256: 3ef9879143342a46cdd00b5f6f3919b77ee693945f9d73eea99344eadd6950b6
uri: https://huggingface.co/LiquidAI/LFM2.5-8B-A1B-GGUF/resolve/main/LFM2.5-8B-A1B-Q4_K_M.gguf
sha256: 4923ec14f06b968b74d663e5949867d2d9c3bf13a20b8be1a9f9af39989b2bb0
- name: "qwopus3.5-9b-coder-mtp"
url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
urls: