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Model Comparison

ggml-org/gemma-4-31b-it-ggufvsliquidai/lfm2-350m-enjp-mt-gguf

Side-by-side comparison of ggml-org/gemma-4-31b-it-gguf and liquidai/lfm2-350m-enjp-mt-gguf: downloads, license, context length, tasks, and benchmarks.

ggml-org/gemma-4-31b-it-gguf

ggml-org · —

# gemma-4-31B-it-GGUF Recommended way to run this model: ``sh llama-server -hf ggml-org/gemma-4-31B-it-GGUF `` Then, access http://localhost:8080

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/gemma-4-31b-it-ggufliquidai/lfm2-350m-enjp-mt-gguf
Authorggml-orgLiquidAI
Pipeline Task—translation
Library—transformers
Downloads52,52144,803
Likes3431
LicenseUnknownUnknown
Context Length——
Created2026-04-012025-09-03
Last Modified2026-04-122026-04-06
Tags
ggufbase_model:google/gemma-4-31B-itbase_model:quantized:google/gemma-4-31B-itendpoints_compatibleregion:usconversational
transformersggufliquidlfm2edgetranslationjapaneseenjabase_model:LiquidAI/LFM2-350M-ENJP-MT

View full details: ggml-org/gemma-4-31b-it-gguf · liquidai/lfm2-350m-enjp-mt-gguf