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Model Comparison

ggml-org/gemma-4-26b-a4b-it-ggufvsliquidai/lfm2-1.2b-extract-gguf

Side-by-side comparison of ggml-org/gemma-4-26b-a4b-it-gguf and liquidai/lfm2-1.2b-extract-gguf: downloads, license, context length, tasks, and benchmarks.

ggml-org/gemma-4-26b-a4b-it-gguf

ggml-org · —

# gemma-4-26B-A4B-it-GGUF Recommended way to run this model: ``sh llama-server -hf ggml-org/gemma-4-26B-A4B-it-GGUF `` Then, access http://localhost:8080

liquidai/lfm2-1.2b-extract-gguf

LiquidAI · text-generation

Based on LFM2-1.2B, LFM2-1.2B-Extract is designed to **extract important information from a wide variety of unstructured documents** (such as articles, transcripts, or reports) into structured outputs like JSON, XML, or YAML. **Use cases**: You can find more information about ot…

Side-by-side Specifications

ggml-org/gemma-4-26b-a4b-it-ggufliquidai/lfm2-1.2b-extract-gguf
Authorggml-orgLiquidAI
Pipeline Task—text-generation
Library—transformers
Downloads238,05537,840
Likes5231
LicenseUnknownUnknown
Context Length——
Created2026-04-012025-09-05
Last Modified2026-04-122026-04-06
Tags
ggufbase_model:google/gemma-4-26B-A4B-itbase_model:quantized:google/gemma-4-26B-A4B-itendpoints_compatibleregion:usconversational
transformersggufliquidlfm2edgetext-generationenarzhfr

View full details: ggml-org/gemma-4-26b-a4b-it-gguf · liquidai/lfm2-1.2b-extract-gguf