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Model Comparison

city96/t5-v1_1-xxl-encoder-ggufvstvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf

Side-by-side comparison of city96/t5-v1_1-xxl-encoder-gguf and tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf: downloads, license, context length, tasks, and benchmarks.

city96/t5-v1_1-xxl-encoder-gguf

city96 · —

This is a GGUF conversion of Google's T5 v1.1 XXL encoder model. The weights can be used with ./llama-embedding or with the ComfyUI-GGUF custom node together with image generation models. This is a **non imatrix** quant as llama.cpp doesn't support imatrix creation for T5 models…

tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf

tvall43 · text-generation

can i fit moe qwen3.5 in 10gb vram? since thats already risky, lets yolo and use claude distil too. 0.65 compression this time. my original goal was 8gb vram but i mathed wrong somewhere. that fits fine on my gpro x080 but not single gpu in the radeon v340l. maybe ill give it an…

Side-by-side Specifications

city96/t5-v1_1-xxl-encoder-gguftvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf
Authorcity96tvall43
Pipeline Tasktext-generation
Librarygguftransformers
Downloads35,81120,490
Likes51018
LicenseUnknownUnknown
Context Length
Created2024-08-192026-03-09
Last Modified2024-08-202026-03-09
Tags
ggufenbase_model:google/t5-v1_1-xxlbase_model:quantized:google/t5-v1_1-xxllicense:apache-2.0endpoints_compatibleregion:us
transformersgguftext-generation-inferenceunslothqwen3_5_moeqwenqwen3.5reasoningchain-of-thoughttext-generation

View full details: city96/t5-v1_1-xxl-encoder-gguf · tvall43/qwen3.5-14b-a3b-claude-4.6-opus-reasoning-distilled-reap-gguf