compressionsavant/fw-edu-cl100k
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updated a dataset 3 days ago
compressionsavant/fw-edu-cl100k published a dataset 4 days ago
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nvidia/Nemotron-Cascade-RL-RLHFOrganizations
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reactedto danielhanchen's post with 🚀🔥 5 months ago
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Qwen3-Next can now be Run locally! (30GB RAM)
Instruct GGUF: unsloth/Qwen3-Next-80B-A3B-Instruct-GGUF
The models come in Thinking and Instruct versions and utilize a new architecture, allowing it to have ~10x faster inference than Qwen32B.
💜 Step-by-step Guide: https://docs.unsloth.ai/models/qwen3-next
Thinking GGUF: unsloth/Qwen3-Next-80B-A3B-Thinking-GGUF
Instruct GGUF: unsloth/Qwen3-Next-80B-A3B-Instruct-GGUF
The models come in Thinking and Instruct versions and utilize a new architecture, allowing it to have ~10x faster inference than Qwen32B.
💜 Step-by-step Guide: https://docs.unsloth.ai/models/qwen3-next
Thinking GGUF: unsloth/Qwen3-Next-80B-A3B-Thinking-GGUF
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Scaling Test-Time Compute to Achieve Gold Medal at IOI 2025 with Open-Weight Models
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reactedto merve's post with 🔥 9 months ago
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ByteDance released Tar 1.5B and 7B: image-text in image-text out models, fully open-source 👏 ByteDance-Seed/tar-6864cf0d9fe59a3b91cc4260
They have an image tokenizer unified with text, and they de-tokenize using either of two models (LLM and diffusion)
The model is actually a full LLM (Qwen2), the tokenizer converts image tokens 🤯
They have an image tokenizer unified with text, and they de-tokenize using either of two models (LLM and diffusion)
The model is actually a full LLM (Qwen2), the tokenizer converts image tokens 🤯
reactedto mrfakename's post with 🤗 about 2 years ago
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Hugging Face announces Cosmo 1B, a fully open sourced Phi competitor with an open sourced dataset. The dataset references various articles and textbooks as "seed data" to generate conversations. Licensed under the Apache 2.0 license. The dataset, dubbed "Cosmopedia," is published on the Hugging Face Hub under the Apache 2.0 license. It was generated using Mixtral 8x7B with various sources (AutoMathText, OpenStax, WikiHow, etc) as "seed data."
Model: HuggingFaceTB/cosmo-1b
Dataset: HuggingFaceTB/cosmopedia
Model: HuggingFaceTB/cosmo-1b
Dataset: HuggingFaceTB/cosmopedia
reactedto davidberenstein1957's post with ❤️ about 2 years ago
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A while ago, I presented this Phi2 DPO fine-tune notebook with LoRa. Got some input from @ybelkada about not needing a
https://colab.research.google.com/drive/1PGMj7jlkJaCiSNNihA2NtpILsRgkRXrJ#scrollTo=wXqoH2TMnjjp
ref_model because we can just swap out the LoRa adapters during training. Cool feature 🤓https://colab.research.google.com/drive/1PGMj7jlkJaCiSNNihA2NtpILsRgkRXrJ#scrollTo=wXqoH2TMnjjp
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