Filter by type:
Filter by tags:
](images/xhtoken-wechat.jpg){kind=icon}
spark-x2.5-4b
# Spark-X2.5
[](https://join.slack.com/t/tokenspark/shared_invite/zt-432qf8l2f-5~dLyXv8uETr0P0UuC07nw)
[](https://discord.gg/kTDE2Hg8aw)
[](https://www.youtube.com/@SparkLLM)
[](https://dev.to/sparkllm)
[](https://bsky.app/profile/sparkllm.bsky.social)
[](https://x.com/sparkllm)
[](https://www.zhihu.com/people/zhiikz7qh7m)
[](images/xhtoken-wechat.jpg)
> [!Note]
> This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format.
## Introduction
We are introducing Spark-X2.5-4B and Spark-X2.5-1.7B, two compact, general-purpose language models designed to make capable AI more practical, efficient, and accessible. The models deliver strong performance across a broad range of everyday tasks—including conversation, writing, translation, reasoning, coding, tool use, and agentic workflows—achieving leading results among open-source models of comparable size. Spark-X2.5 combines an efficiency-oriented architecture with native context windows of up to 1M tokens, and support for more than 200 languages.
...
Repository: localaiLicense: apache-2.0
qwopus3.8-27b-flash
Qwopus3.8-27B-Flash is a Qwen3.8-27B fine-tune for reasoning and agent
workloads. This Q4_K_M GGUF includes the F32 vision projector and uses
llama.cpp's embedded chat template with MTP speculative decoding.
The publisher reports a known Python code indentation issue.
Repository: localaiLicense: apache-2.0
qwopus3.8-27b-flash-q8
Qwopus3.8-27B-Flash is a Qwen3.8-27B fine-tune for reasoning and agent
workloads. This Q8_0 GGUF includes the F32 vision projector and uses
llama.cpp's embedded chat template with MTP speculative decoding.
The publisher reports a known Python code indentation issue.
Repository: localaiLicense: apache-2.0
supra2-100m-instruct
Supra2-100M-Instruct is a compact English chat model trained from scratch by
SupraLabs on the Qwen3 architecture. It has 100 million parameters, a
2,048-token context window, and is intended for lightweight experiments and
constrained edge deployments. This entry uses the publisher's official F16
GGUF build.
Repository: localaiLicense: apache-2.0
huihui-qwen3.8-flash-next-abliterated-q4
Huihui's abliterated Qwen3.8-Flash-Next is a vision-language
mixture-of-experts model modified to reduce refusals. This entry uses
the publisher's UD-Q4_K_XL GGUF and BF16 vision projector for text chat
and image input through llama.cpp. The default context is 32,768 tokens.
Model weights use the Qwen Community License 1.0.
Repository: localaiLicense: other
dfm-mimir:vllm
DFM Mimir is an Apache-2.0, instruction-tuned HRM-Text model from Danish
Foundation Models. It has about 1 billion parameters and a 4,096-token
context window. The model focuses on Danish and English chat, reasoning,
mathematics, and code generation, and uses only permissible post-training
data. This entry serves the official BF16 safetensors checkpoint with vLLM.
Repository: localaiLicense: apache-2.0
granite-4.2-3b-q4
IBM Granite 4.2 3B is a compact multilingual reasoning model for chat,
coding, long-context tasks, and tool use. This entry uses the Q4_K_M
GGUF; a higher-fidelity Q8_0 build is available as a variant.
Repository: localaiLicense: apache-2.0
granite-4.2-3b-q8
IBM Granite 4.2 3B in the higher-fidelity Q8_0 GGUF format. It is a
compact multilingual reasoning model for chat, coding, and tool use.
Repository: localaiLicense: apache-2.0
granite-4.2-8b-q4
IBM Granite 4.2 8B is a multilingual reasoning model for chat, coding,
long-context tasks, and tool use. This entry uses the Q4_K_M GGUF; a
higher-fidelity Q8_0 build is available as a variant.
Repository: localaiLicense: apache-2.0
granite-4.2-8b-q8
IBM Granite 4.2 8B in the higher-fidelity Q8_0 GGUF format. It is a
multilingual reasoning model for chat, coding, and tool use.
Repository: localaiLicense: apache-2.0
granite-4.2-30b-q4
IBM Granite 4.2 30B is the family's flagship multilingual reasoning model
for chat, coding, long-context tasks, and tool use. This entry uses the
Q4_K_M GGUF; a higher-fidelity Q8_0 build is available as a variant.
Repository: localaiLicense: apache-2.0
granite-4.2-30b-q8
IBM Granite 4.2 30B in the higher-fidelity Q8_0 GGUF format. It is the
family's flagship multilingual reasoning model for chat, coding, and tool
use.
Repository: localaiLicense: apache-2.0
dirk-qwen3.8-27b-q4
Dirk is a Qwen3.8 27B vision-language model with a concise chat template
for agentic coding, reasoning, tool use, and general knowledge tasks. It
preserves the model's MTP head for speculative decoding and supports a
262K-token context window.
This default entry uses the Q4_K_XL GGUF and F16 vision projector. A
choice of Q5_K_XL, Q6_K_XL, and Q8_K_XL builds is available through variants.
Repository: localaiLicense: apache-2.0
nex-n2.5-mini-q4
Nex-N2.5-mini is a 35B-parameter Qwen3.5 MoE model for coding, tool use,
and computer and browser tasks with image input. This Q4_K_M GGUF build
includes the F16 vision projector and uses the embedded chat template.
Repository: localaiLicense: apache-2.0
nex-n2.5-mini-q5
Nex-N2.5-mini is a 35B-parameter Qwen3.5 MoE model for coding, tool use,
and computer and browser tasks with image input. This Q5_K_M GGUF build
includes the F16 vision projector and uses the embedded chat template.
Repository: localaiLicense: apache-2.0
nex-n2.5-mini-q6
Nex-N2.5-mini is a 35B-parameter Qwen3.5 MoE model for coding, tool use,
and computer and browser tasks with image input. This Q6_K GGUF build
includes the F16 vision projector and uses the embedded chat template.
Repository: localaiLicense: apache-2.0
nex-n2.5-mini-q8
Nex-N2.5-mini is a 35B-parameter Qwen3.5 MoE model for coding, tool use,
and computer and browser tasks with image input. This Q8_0 GGUF build
includes the F16 vision projector and uses the embedded chat template.
Repository: localaiLicense: apache-2.0
spark-x2.5-1.7b-q4
Spark-X2.5-1.7B is XHToken's 1.7B text model for conversation, reasoning,
coding, and multilingual tasks. This build uses Q4_K_M GGUF weights,
the embedded Jinja chat template, and a 32K-token default context.
Repository: localaiLicense: apache-2.0
spark-x2.5-1.7b-q8
Spark-X2.5-1.7B is XHToken's 1.7B text model for conversation, reasoning,
coding, and multilingual tasks. This build uses Q8_0 GGUF weights,
the embedded Jinja chat template, and a 32K-token default context.
Repository: localaiLicense: apache-2.0
spark-x2.5-4b-q4
Spark-X2.5-4B is XHToken's 4B text model for conversation, reasoning,
coding, and multilingual tasks. This entry uses Q4_K_M GGUF weights;
Q6_K and Q8_0 builds are available as variants. All builds use the
embedded Jinja chat template and a 32K-token default context.
Repository: localaiLicense: apache-2.0
spark-x2.5-4b-q6
Spark-X2.5-4B in Q6_K GGUF format, with the embedded Jinja chat
template and a 32K-token default context.
Repository: localaiLicense: apache-2.0
Page 1