textilelabs/Loom-Spark-1.8-Flash
Text Generation • 2.62M • Updated
🚀 Launched two loom flash models!
Loom
textilelabs
AI & ML interests
Independent builder training small/efficient models from scratch on consumer hardware (CPU-only, no cloud).
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updated a model about 15 hours ago
textilelabs/Loom-Spark-1.8-Flash published a model about 15 hours ago
textilelabs/Loom-Spark-1.8-Flash updated a model about 15 hours ago
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reacted to CodeSoft's post with ❤️ 1 day ago
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1560
Wow, SLM Arena is getting a lot of traffic! Thank you guys for showing your interest!
To handle the growing demand, I’m moving SLM Arena from a CPU Space to a ZeroGPU Space. Hopefully, this will let me add more models to SLM Arena while keeping it running fast.
I've also added a separate arena + leaderboard for base models!
If there are any models or features you’d like to see, let me know in a reply to this post or in a Community post on the Space!
To handle the growing demand, I’m moving SLM Arena from a CPU Space to a ZeroGPU Space. Hopefully, this will let me add more models to SLM Arena while keeping it running fast.
I've also added a separate arena + leaderboard for base models!
If there are any models or features you’d like to see, let me know in a reply to this post or in a Community post on the Space!
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reacted to appvoid's post with 🔥 2 days ago
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2562
I hope that after this OpenAI disaster on Plus users, more people start realizing why Open Weights were always the only way.
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textilelabs/Loom-Spark1.5
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#11970 opened 3 days ago
by textilelabs
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textilelabs/Loom-Spark
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#11965 opened 4 days ago
by textilelabs
🚀 Launching Loom-Spark, the first model made by textile labs
#1 opened 4 days ago
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reacted to CodeSoft's post with 🔥 4 days ago
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1592
CodeSoft/sorbet-25m is out! Works out of the box with Transformers and llama.cpp
- GGUFs at CodeSoft/sorbet-25m-gguf
- Sorbet-25M-v2 (and its chat-tuned version) is in progress :)
- GGUFs at CodeSoft/sorbet-25m-gguf
- Sorbet-25M-v2 (and its chat-tuned version) is in progress :)
- 14 replies
reacted to dejanseo's post with 🔥 4 days ago
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Ox Alpha is GLM
https://dejan.ai/blog/ox-alpha/
A parameter-free k-nearest-neighbour classifier over Normalized Compression Distance (Lee et al., MobiSys ’24, Eq. 1, built on Jiang et al.'s gzip-based text classifier). NCD compares two texts by how well they compress together. C(s) is the gzip-compressed length of s. Text sharing an author's patterns compresses better together than text from a different author, so the method needs no model weights and no embeddings.
The reference corpus covers 60 prompts (essays, code, emails, dialogue, poetry) answered by five known models: GPT-5.5, Claude Opus 5, Gemini 3.7 Flash, Gemini 3.1 Pro Preview, and GLM-5.3, for 293 reference texts. ox-alpha answered the first 13 of those prompts, plus one additional novel prompt never given to the reference models beforehand, for 14 queries in total. Each query was classified against the reference corpus independently, with a k-nearest-neighbour vote (k=5):
Model ox-alpha samples matched
GLM-5.3 7 / 14
Claude Opus 5 3 / 14
Gemini 3.7 Flash 2 / 14
GPT-5.5 1 / 14
Gemini 3.1 Pro Preview 1 / 14
GLM-5.3 wins at every k tested: 7/14 at k=3, 7/14 at k=5, 6/14 at k=7, 7/14 at k=9. Claude Opus 5 is the consistent second place.
https://dejan.ai/blog/ox-alpha/
A parameter-free k-nearest-neighbour classifier over Normalized Compression Distance (Lee et al., MobiSys ’24, Eq. 1, built on Jiang et al.'s gzip-based text classifier). NCD compares two texts by how well they compress together. C(s) is the gzip-compressed length of s. Text sharing an author's patterns compresses better together than text from a different author, so the method needs no model weights and no embeddings.
The reference corpus covers 60 prompts (essays, code, emails, dialogue, poetry) answered by five known models: GPT-5.5, Claude Opus 5, Gemini 3.7 Flash, Gemini 3.1 Pro Preview, and GLM-5.3, for 293 reference texts. ox-alpha answered the first 13 of those prompts, plus one additional novel prompt never given to the reference models beforehand, for 14 queries in total. Each query was classified against the reference corpus independently, with a k-nearest-neighbour vote (k=5):
Model ox-alpha samples matched
GLM-5.3 7 / 14
Claude Opus 5 3 / 14
Gemini 3.7 Flash 2 / 14
GPT-5.5 1 / 14
Gemini 3.1 Pro Preview 1 / 14
GLM-5.3 wins at every k tested: 7/14 at k=3, 7/14 at k=5, 6/14 at k=7, 7/14 at k=9. Claude Opus 5 is the consistent second place.
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