manojbillionaire123/Gemma-4-E4B-it-qat-assistant-MTP-Q8_0-GGUF overview
Gemma 4 E4B it qat q4 0 unquantized assistant GGUF Quantized Model This model is a GGUF quantized version of the google/gemma 4 E4B it qat q4 0 unquantized ass…
Runs locally from ~94.1 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| gemma-4-E4B-it-qat-assistant-MTP-Q8_0.gguf | GGUF | Q8_0 | 94.1 MB | Download |
Model Details
| Model ID | manojbillionaire123/Gemma-4-E4B-it-qat-assistant-MTP-Q8_0-GGUF |
|---|---|
| Author | manojbillionaire123 |
| Pipeline | — |
| License | apache-2.0 |
| Base model | google/gemma-4-E4B-it-qat-q4_0-unquantized-assistant |
| Last modified | 2026-09-03T05:06:47.000Z |
Model README
---
license: apache-2.0
library_name: llama.cpp
tags:
- gguf
- gemma
- llama-cpp
- quantized
- MTP
- speculative-decoding
base_model:
- google/gemma-4-E4B-it-qat-q4_0-unquantized-assistant
---
Gemma-4-E4B-it-qat-q4_0-unquantized-assistant - GGUF Quantized Model
This model is a GGUF quantized version of the google/gemma-4-E4B-it-qat-q4_0-unquantized-assistant base model, converted using llama.cpp's https://github.com/ggml-org/llama.cpp/blob/master/convert_hf_to_gguf.py script.
Quantization Details
- Base Model:
google/gemma-4-E4B-it-qat-q4_0-unquantized-assistant - Conversion Tool: llama.cpp
https://github.com/ggml-org/llama.cpp/blob/master/convert_hf_to_gguf.py - Quantization Method: Q8_0 (8-bit quantization)
- Format: GGUF (GPT-Generated Unified Format)
Model Files
| File | Description |
|------|-------------|
| gemma-4-E4B-it-qat-assistant-MTP-Q8_0.gguf | Draft model for speculative decoding (Q8_0) |
Usage with llama-server
Below is the recommended llama-server command to run this model with optimal settings including MTP (Multi-Token Prediction) speculative decoding:
llama-server -hf google/gemma-4-E4B-it-qat-q4_0-gguf \
--temp 1.0 \
--top-p 0.95 \
--top-k 64 \
--ui-mcp-proxy \
-c 64000 \
-fa off \
--jinja \
--metrics \
--spec-type draft-mtp \
--spec-draft-n-max 2 \
--parallel 1 \
--spec-draft-hf amaranus/Gemma-4-E4B-it-qat-assistant-MTP-Q8_0-GGUF
| Parameter | Value | Description |
| --- | --- | --- |
| -hf | google/gemma-4-E4B-it-qat-q4_0-gguf | Load model directly from Hugging Face Hub |
| --temp | 1.0 | Sampling temperature (higher = more creative) |
| --top-p | 0.95 | Nucleus sampling threshold |
| --top-k | 64 | Top-K sampling (only consider top 64 tokens) |
| --ui-mcp-proxy | - | Enable UI MCP proxy interface |
| -c | 64000 | Context length (64K tokens) |
| -fa | off | Flash Attention disabled (use standard attention) |
| --jinja | - | Enable Jinja2 template processing for chat formats |
| --metrics | - | Enable metrics endpoint for monitoring |
| --spec-type | draft-mtp | Speculative decoding type: Multi-Token Prediction |
| --spec-draft-n-max | 2 | Maximum number of speculative tokens per step |
| --parallel | 1 | Parallel sequences (1 = single sequence) |
| --model-draft | gemma-4-E4B-it-qat-assistant-MTP-Q8_0.gguf | Path to draft model (higher quality Q8\_0) |
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