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Model Comparison

ccssne/gemma-4-31b-it-heretic-ara-ggufvsliquidai/lfm2-350m-enjp-mt-gguf

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

ccssne/gemma-4-31b-it-heretic-ara-gguf

CCSSNE · —

# Gemma-4-31B-It-Heretic-GGUF Quantized using Unsloth on RTX 4070 Laptop . This version includes the vision adapter (mmproj) and is optimized for local inference.

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

ccssne/gemma-4-31b-it-heretic-ara-ggufliquidai/lfm2-350m-enjp-mt-gguf
AuthorCCSSNELiquidAI
Pipeline Tasktranslation
Librarygguftransformers
Downloads48,71444,803
Likes431
LicenseUnknownUnknown
Context Length
Created2026-04-032025-09-03
Last Modified2026-04-032026-04-06
Tags
ggufunslothgemma-4quantizedbase_model:trohrbaugh/gemma-4-31b-it-heretic-arabase_model:quantized:trohrbaugh/gemma-4-31b-it-heretic-araendpoints_compatibleregion:usconversational
transformersggufliquidlfm2edgetranslationjapaneseenjabase_model:LiquidAI/LFM2-350M-ENJP-MT

View full details: ccssne/gemma-4-31b-it-heretic-ara-gguf · liquidai/lfm2-350m-enjp-mt-gguf