ggml-org/embeddinggemma-300m-qat-q8_0-ggufvsliquidai/lfm2-2.6b-exp-gguf
Side-by-side comparison of ggml-org/embeddinggemma-300m-qat-q8_0-gguf and liquidai/lfm2-2.6b-exp-gguf: downloads, license, context length, tasks, and benchmarks.
ggml-org/embeddinggemma-300m-qat-q8_0-gguf
# embeddinggemma-300m-qat-q8_0 GGUF Recommended way to run this model: ``sh llama-server -hf ggml-org/embeddinggemma-300m-qat-q8_0-GGUF --embeddings ` Then the endpoint can be accessed at http://localhost:8080/embedding, for example using curl: `console curl --request POST \ --u…
liquidai/lfm2-2.6b-exp-gguf
LFM2 is a new generation of hybrid models developed by Liquid AI, specifically designed for edge AI and on-device deployment. It sets a new standard in terms of quality, speed, and memory efficiency. Find more details in the original model card: https://huggingface.co/LiquidAI/L…
Side-by-side Specifications
| ggml-org/embeddinggemma-300m-qat-q8_0-gguf | liquidai/lfm2-2.6b-exp-gguf | |
|---|---|---|
| Author | ggml-org | LiquidAI |
| Pipeline Task | feature-extraction | text-generation |
| Library | sentence-transformers | — |
| Downloads | 47,806 | 36,704 |
| Likes | 15 | 64 |
| License | Unknown | Unknown |
| Context Length | — | — |
| Created | 2025-09-04 | 2025-12-25 |
| Last Modified | 2025-09-15 | 2026-03-30 |
| Tags |
View full details: ggml-org/embeddinggemma-300m-qat-q8_0-gguf · liquidai/lfm2-2.6b-exp-gguf