ngquocvinh/Spark-X2.5-1.7B-GGUF overview
Spark X2.5 1.7B GGUF Community GGUF quantizations of XHToken/Spark X2.5 1.7B https://huggingface.co/XHToken/Spark X2.5 1.7B . This repository contains nine qua…
Runs locally from ~1.8 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Spark-X2.5-1.7B-IQ1_M.gguf | GGUF | IQ1_M | 548.2 MB | Download |
| Spark-X2.5-1.7B-IQ2_XS.gguf | GGUF | IQ2_XS | 625.8 MB | Download |
| Spark-X2.5-1.7B-Q1_0.gguf | GGUF | Q1_0 | 408.6 MB | Download |
| Spark-X2.5-1.7B-Q2_K.gguf | GGUF | Q2_K | 753.6 MB | Download |
| Spark-X2.5-1.7B-Q3_K_M.gguf | GGUF | Q3_K_M | 894.0 MB | Download |
| Spark-X2.5-1.7B-Q4_K_M.gguf | GGUF | Q4_K_M | 1.03 GB | Download |
| Spark-X2.5-1.7B-Q5_K_M.gguf | GGUF | Q5_K_M | 1.17 GB | Download |
| Spark-X2.5-1.7B-Q6_K.gguf | GGUF | Q6_K | 1.31 GB | Download |
| Spark-X2.5-1.7B-Q8_0.gguf | GGUF | Q8_0 | 1.70 GB | Download |
| reproducibility/spark25_1.7b_combined.imatrix.gguf | GGUF | GGUF | 1.8 MB | Download |
| reproducibility/spark25_1.7b_vn_code_agent.imatrix.gguf | GGUF | GGUF | 1.8 MB | Download |
| reproducibility/spark25_1.7b_wiki.imatrix.gguf | GGUF | GGUF | 1.8 MB | Download |
Model Details
| Model ID | ngquocvinh/Spark-X2.5-1.7B-GGUF |
|---|---|
| Author | ngquocvinh |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | XHToken/Spark-X2.5-1.7B |
| Last modified | 2026-09-13T13:28:38.000Z |
Model README
---
license: apache-2.0
base_model: XHToken/Spark-X2.5-1.7B
base_model_relation: quantized
library_name: llama.cpp
pipeline_tag: text-generation
tags:
- gguf
- llama.cpp
- spark2_5
- quantized
- text-generation
---
Spark-X2.5-1.7B GGUF
Community GGUF quantizations of
This repository contains nine quantized files for local inference. No
training or fine-tuning was performed.
<div align="center" style="background-color:#f59e0b;color:#ffffff;padding:16px 20px;border-radius:10px;line-height:1.7;">
☕ If this GGUF made your day easier, a coffee would make mine.<br>
<a href="https://ko-fi.com/ngquocvinh" style="color:#ffffff;"><strong style="color:#ffffff;">Send a coffee ☕</strong></a><br>
I build and test these releases myself. Your coffee helps keep me going.<br>
Thank you for supporting this work.
</div>
Files
| Quantization | File size (GiB) | A10M generation token/s | Validation | Recommendation / Notes |
|---|---:|---:|---|---|
| Q8_0 | 1.70 | 175.54 | Load/generate pass | High quality. |
| Q6_K | 1.31 | 199.07 | Load/generate pass | High quality. |
| Q5_K_M | 1.17 | 223.04 | Load/generate pass | Daily use. |
| Q4_K_M | 1.03 | 241.87 | Load/generate pass | Recommended default. |
| Q3_K_M | 0.87 | 203.60 | Load/generate pass | Lower-memory profile. |
| Q2_K | 0.74 | 231.70 | Load/generate pass | Aggressive low-memory profile. |
| IQ2_XS | 0.61 | 245.03 | Load/generate pass | Experimental. |
| IQ1_M | 0.54 | 252.02 | Load/generate pass | Experimental. |
| Q1_0 | 0.40 | 336.65 | Load/generate pass | Experimental / legacy minimum-memory option. |
The A10M generation figures were measured with single-stream llama-bench on
an NVIDIA A10M.
Q1/Q2 and the IQ variants can lose instruction following, reasoning, and
tool-call reliability. Validate the chosen file on the workload that matters
to you.
License and attribution
The upstream model is released under Apache License 2.0. Preserve the
upstream attribution and license when redistributing these derivative files.
This is a community GGUF quantization, not an official XHToken/SparkLLM
release or endorsement.
Checksums are available in SHA256SUMS.txt.
Run ngquocvinh/Spark-X2.5-1.7B-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models