Question 1

What is yosoyalguien/gemma-4-E2B-it-GGUF-TQ4_1S?

Accepted Answer

--- base_model: - unsloth/gemma-4-E2B-it-GGUF license: other tags: - turboquant - gguf - quantization - tq4_1s --- # yosoyalguien/gemma-4-E2B-it-GGUF-TQ4_1S TurboQuant (TQ4_1S) quantization of [unsloth/gemma-4-E2B-it-GGUF](https://huggingface.co/unsloth/gemma-4-E2B-it-GGUF). ## Details | Field | Value | |---|---| | Parent model | [unsloth/gemma-4-E2B-it-GGUF](https://huggingface.co/unsloth/gemma-4-E2B-it-GGUF) | | Quantization type | TQ4_1S | | Quantization tool | [turboquant-plus-tqp-v0.2.0](https://github.com/ggml-org/llama.cpp) | | File | `gemma-4-E2B-it-UD-Q8_K_XL-tq4_1s.gguf` | ## Usage Use with [llama.cpp](https://github.com/ggml-org/llama.cpp) (TurboQuant fork) or any GGUF-compatible runtime that supports the TQ4_1S type. ```bash llama-server -m gemma-4-E2B-it-UD-Q8_K_XL-tq4_1s.gguf --port 8080 ``` ## Disclaimer This model was quantized using TurboQuant, an experimental KV cache …

Question 2

What license applies to yosoyalguien/gemma-4-E2B-it-GGUF-TQ4_1S?

Accepted Answer

License: other. Verify terms on Hugging Face before commercial use.

Question 3

How do I run yosoyalguien/gemma-4-E2B-it-GGUF-TQ4_1S locally?

Accepted Answer

Download a GGUF file from this page and load it in guIDE or llama.cpp. Pipeline task: text-generation.

Question 4

How much VRAM or disk space does yosoyalguien/gemma-4-E2B-it-GGUF-TQ4_1S need?

Accepted Answer

Runs locally from ~3.24 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

yosoyalguien/gemma-4-E2B-it-GGUF-TQ4_1S overview

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yosoyalguien/gemma-4-E2B-it-GGUF-TQ4_1S

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Run yosoyalguien/gemma-4-E2B-it-GGUF-TQ4_1S with guIDE

Model ID	yosoyalguien/gemma-4-E2B-it-GGUF-TQ4_1S
Author	yosoyalguien
Pipeline	—
License	other
Base model	unsloth/gemma-4-E2B-it-GGUF
Last modified	2026-07-09T22:34:10.000Z