Model · language model
Ling 3.1 flash (quantized GGUF builds)
Ling 3.1 flash (quantized GGUF builds) is a language model from AtomicChat, first covered on 15 October 2026. It is available as open weights you can download and run (licence: MIT). Its context window is 32768 tokens.
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Quick facts
- Who makes Ling 3.1 flash (quantized GGUF builds)?
- Ling 3.1 flash (quantized GGUF builds) is made by AtomicChat. AtomicChat news →
- When was Ling 3.1 flash (quantized GGUF builds) released?
- The first report of Ling 3.1 flash (quantized GGUF builds)'s release that Digest AI covered was published on 15 October 2026.
- What type of model is Ling 3.1 flash (quantized GGUF builds)?
- Ling 3.1 flash (quantized GGUF builds) is a language model.
- Are Ling 3.1 flash (quantized GGUF builds)'s weights open?
- Yes. Ling 3.1 flash (quantized GGUF builds) is released as open weights that can be downloaded and run, under the MIT licence.
- What is Ling 3.1 flash (quantized GGUF builds)'s context window?
- Ling 3.1 flash (quantized GGUF builds)'s context window is 32768 tokens.
- Where is Ling 3.1 flash (quantized GGUF builds) available?
- Ling 3.1 flash (quantized GGUF builds) is available as open weights that can be downloaded and run.
Taken from the coverage, not from our own testing. A question is left out when none of the reports we read gave the answer. All tracked models →
1 story about Ling 3.1 flash (quantized GGUF builds)
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AtomicChat releases quantized Ling 3.1 flash models with 86–88% token accuracy
The quantized versions match the base BF16 model’s token predictions 86 to 88% of the time on held-out text, with lower KL divergence scores indicating better alignment. Two 1-bit experimental files are included, but…
1 source primary sourcehuggingface.co
