Repository: localaiLicense: apache-2.0
Carbon-3B is Hugging Face's 3B-parameter genomic foundation model for DNA and RNA sequence generation, recovery, variant-effect prediction, and motif-perturbation analysis. It supports 32,768 tokens natively and uses a hybrid tokenizer with 6-mer DNA tokens. This default entry uses the Q4_K_M GGUF. A higher-quality Q8_0 build is available as a variant. Prefix DNA sequences with `` and use uppercase A, C, G, and T characters in groups of six.
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Carbon-3B in the higher-quality Q8_0 GGUF format for genomic sequence generation and analysis.
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Repository: localaiLicense: apache-2.0
Carbon-8B is the largest model in Hugging Face's Carbon family of genomic foundation models. It targets DNA and RNA sequence generation, recovery, variant-effect prediction, and motif-perturbation analysis with a native context length of 32,768 hybrid 6-mer DNA tokens. This default entry uses the Q4_K_M GGUF. A higher-quality Q8_0 build is available as a variant. Prefix DNA sequences with `` and use uppercase A, C, G, and T characters in groups of six.
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Carbon-8B in the higher-quality Q8_0 GGUF format for genomic sequence generation and analysis.
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Repository: localaiLicense: apache-2.0
Empero AI # Qwythos-9B-v2 — the new and improved Qwythos The next iteration of Qwythos: **all the reasoning of Qwythos-9B, with the looping behavior fixed.** v2 keeps the deep chain-of-thought, the uncensored research posture, and the 1M-token context of its predecessor, and cleans up the rough edges that showed up in real use. - 🔁 **Looping behavior eliminated** — repetition/degeneration under greedy or low-temperature decoding dropped from **6.7% → 0%**. You can serve it *without* leaning on `repetition_penalty` as a band-aid. - 🧠 **Reasoning fully preserved** — MMLU, GSM8K, GPQA, ARC and HumanEval are all held at (or above) the v1 level. This is a *hygiene* upgrade, not a capability regression. - 🧩 **MTP head restored** — the native multi-token-prediction module (dropped in the previous export) is back, so config and weights agree and speculative-decoding setups work. - 🪪 **Cleaner identity** — the model no longer prefaces unrelated answers with its identity; it introduces itself only when you actually ask. - 🔓 **Still intentionally uncensored** for research, cybersecurity, red-teaming, biology, chemistry, pharmacology and clinical work. - 📜 **St ...
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