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Model Comparison

ggml-org/glm-ocr-ggufvsliquidai/lfm2-350m-enjp-mt-gguf

Side-by-side comparison of ggml-org/glm-ocr-gguf and liquidai/lfm2-350m-enjp-mt-gguf: downloads, license, context length, tasks, and benchmarks.

ggml-org/glm-ocr-gguf

ggml-org · —

This model is converted from zai-org/GLM-OCR to GGUF using convert_hf_to_gguf.py To use it: `` llama-server -hf ggml-org/GLM-OCR-GGUF ``

liquidai/lfm2-350m-enjp-mt-gguf

LiquidAI · translation

Based on the LFM2-350M model, this checkpoint has been fine-tuned for near real-time **bi-directional Japanese/English translation** of short-to-medium inputs. Find more details in the original model card: https://huggingface.co/LiquidAI/LFM2-350M-ENJP-MT

Side-by-side Specifications

ggml-org/glm-ocr-ggufliquidai/lfm2-350m-enjp-mt-gguf
Authorggml-orgLiquidAI
Pipeline Task—translation
Library—transformers
Downloads21,79144,803
Likes5031
LicenseUnknownUnknown
Context Length——
Created2026-02-172025-09-03
Last Modified2026-03-102026-04-06
Tags
ggufbase_model:zai-org/GLM-OCRbase_model:quantized:zai-org/GLM-OCRendpoints_compatibleregion:usconversational
transformersggufliquidlfm2edgetranslationjapaneseenjabase_model:LiquidAI/LFM2-350M-ENJP-MT

View full details: ggml-org/glm-ocr-gguf · liquidai/lfm2-350m-enjp-mt-gguf