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ggml-org/gemma-4-e2b-it-ggufvsmaziyarpanahi/meta-llama-3-8b-instruct-gguf

Side-by-side comparison of ggml-org/gemma-4-e2b-it-gguf and maziyarpanahi/meta-llama-3-8b-instruct-gguf: downloads, license, context length, tasks, and benchmarks.

ggml-org/gemma-4-e2b-it-gguf

ggml-org · —

# gemma-4-E2B-it-GGUF Recommended way to run this model: ``sh llama-server -hf ggml-org/gemma-4-E2B-it-GGUF `` Then, access http://localhost:8080

maziyarpanahi/meta-llama-3-8b-instruct-gguf

MaziyarPanahi · text-generation

# MaziyarPanahi/Meta-Llama-3-8B-Instruct-GGUF The GGUF and quantized models here are based on meta-llama/Meta-Llama-3-8B-Instruct model

Side-by-side Specifications

ggml-org/gemma-4-e2b-it-ggufmaziyarpanahi/meta-llama-3-8b-instruct-gguf
Authorggml-orgMaziyarPanahi
Pipeline Task—text-generation
Library—transformers
Downloads79,90390,578
Likes58102
LicenseUnknownUnknown
Context Length——
Created2026-04-012024-04-18
Last Modified2026-04-122024-04-23
Tags
ggufbase_model:google/gemma-4-E2B-itbase_model:quantized:google/gemma-4-E2B-itendpoints_compatibleregion:usconversational
transformersggufmistralfacebookmetapytorchllamallama-3quantized2-bit

View full details: ggml-org/gemma-4-e2b-it-gguf · maziyarpanahi/meta-llama-3-8b-instruct-gguf