SparkLLM✓

🎉 Spark-X2.6-4B reached #4 on Hugging Face Trending! Snapshot: All · last 7 days, Oct 25, 2026. Thanks for your support, hands-on reports & constructive feedback. If you find it useful, give it a ❤️ Like:

Build for good with HER Hack-Astron #7! Use Spark-X2.6-4B in a working app. Post a video or illustrated demo on HF Discussions, then submit its link in Issue #16. One winner: USD 100. Due Oct 31, 2026, 23:59 UTC. Rules:

Thanks @huggingface and everyone supporting Spark-X2.6-4B! ❤️ Give the model a Like: Build an AI-for-Good app, share a working demo & compete for one USD 100 prize:

Spark X2.6 in practice: a local Chinese-to-English translation and a multiplication check, recorded via Spark-MLX-LLM. Follow the actual prompts, outputs and reproducible setup.

The community MLX 4-bit checkpoint ran on Linux CPU/FP32. Translation took 403.37 s; 53 × 42 returned 2226 in 344.87 s. Waiting was cut from the video. Source:

TURN BARRIERS INTO ACCESS. HER Hack-Astron #7 is open: build a working public-interest app with Spark-X2.6-4B. One winner: USD 100. Deadline: Oct 31, 2026, 23:59 UTC. Rules & entry: #AIforGood #OpenSource

❤️ Like ⬇️ Download ▶️ Run Get the model: Build for disaster response, health, accessibility, gender equality, or another public need. Show actual inputs and outputs in a video OR illustrated demo.

Publish your complete project: Then reply here with your Discussion link: Both steps are required. No live presentation. Individuals of any gender welcome; teams must be at least 50% women contributors.

Spark-X2.6-4B is here! Stronger coding, agents & long-context skills through improved post-training. Thinking: none / low / high. @huggingface @ModelScope2022 @ollama @vllm_project @sgl_project

@huggingface @ModelScope2022 @ollama @vllm_project @sgl_project Selected release results (high thinking): BFCL-V4: 71.8 MCP-Atlas: 62.4 BrowseComp: 53.1 SWE Pro: 54.3 The attached full table preserves evaluation notes. The inference chart compares hardware, runtimes and context lengths.

@huggingface @ModelScope2022 @ollama @vllm_project @sgl_project Get Spark-X2.6: Hugging Face: ModelScope: Ollama: Run locally: ollama run SparkLLM/Spark-X2.6-4B Deployment guides include vLLM and SGLang.

To repeat: deploy from the project docs, open My Skills, then check the saved avatar, coordinate and version. Invitation history is in team member management. Release:

A synthetic insert needs area 40 cm² and a length 3 cm greater than its width. Local Spark-X2.5-1.7B extracts the integers; SymPy solves. Demo:

Both −8 and 5 satisfy x(x+3)=40. Requiring positive width and length retains 5 × 8 cm. Windows, llama.cpp b10833, community Q4_K_M, Python 3.12 and SymPy 1.14.0. One actual model request.

Follow the public SymPy skill, solve over the reals, substitute each root, then check the original physical conditions. Local demonstration adapter. #SparkX25 #SymPy

A negative root can satisfy an equation and still be an invalid size. In our local synthetic packaging demo, Spark-X2.5-1.7B extracted area 40 and gap 3; SymPy returned −8 and 5. Public skill:

The local adapter validates integer JSON, constructs x(x+3)−40 from SymPy symbols and exact Integers, and solves over S.Reals. Both roots give residual 0; requiring positive width and length leaves 5 × 8 cm.

One actual model request: Windows, llama.cpp b10833, community Q4_K_M weights, SymPy 1.14.0. Reuse the skill, solve, substitute, and check physical constraints. #SparkX25 #SymPy

Correct intermediate arithmetic, corrupted final number: 0.538461538 becomes 538,461,538 after a decimal disappears. Watch dearankh’s Spark-X2.5-1.7B Q4_K_M case: #SparkX25 #LLM

The disclosed Codex-operated evaluation used CPU and llama.cpp, one sample per item, and a 96-token reasoning budget. Original scoring: 19/28 items pass; 8/14 pairs pass both. The video recounts public records.

A small diagnostic of one configuration: final numbers and units need checking even when intermediate arithmetic is right. Original submission: #ModelEvaluation