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Model Comparison

maziyarpanahi/llama-3-8b-instruct-32k-v0.1-ggufvsunsloth/gemma-4-e2b-it-gguf

Side-by-side comparison of maziyarpanahi/llama-3-8b-instruct-32k-v0.1-gguf and unsloth/gemma-4-e2b-it-gguf: downloads, license, context length, tasks, and benchmarks.

maziyarpanahi/llama-3-8b-instruct-32k-v0.1-gguf

MaziyarPanahi · text-generation

# MaziyarPanahi/Llama-3-8B-Instruct-32k-v0.1-GGUF

unsloth/gemma-4-e2b-it-gguf

unsloth · image-text-to-text

processor = AutoProcessor.from_pretrained(MODEL_ID) model = AutoModelForCausalLM.from_pretrained( MODEL_ID, dtype="auto", device_map="auto" ) `` Once the model is loaded, you can start generating output: `python # Prompt messages = [ {"role": "system", "content": "You are a help…

Side-by-side Specifications

maziyarpanahi/llama-3-8b-instruct-32k-v0.1-ggufunsloth/gemma-4-e2b-it-gguf
AuthorMaziyarPanahiunsloth
Pipeline Tasktext-generationimage-text-to-text
Librarytransformers—
Downloads88,170627,897
Likes58127
LicenseUnknownUnknown
Context Length——
Created2024-04-242026-04-01
Last Modified2024-06-282026-04-11
Tags
transformersggufmistralquantized2-bit3-bit4-bit5-bit6-bit8-bit
ggufgemma4unslothgemmagoogleimage-text-to-textbase_model:google/gemma-4-E2B-itbase_model:quantized:google/gemma-4-E2B-itlicense:apache-2.0endpoints_compatible

View full details: maziyarpanahi/llama-3-8b-instruct-32k-v0.1-gguf · unsloth/gemma-4-e2b-it-gguf