singularityyyyy/dolphin-2.9.1-yi-1.5-34b
AI model by singularityyyyy
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Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations This is our most spectacular outcome ever. FFT, all parameters, 16bit. 77.4 MMLU on 34b. And it talks like a dream. Although the max positional embeddings is 4k, we used rope theta of 1000000.0 and we trained with sequence length 8k. We plan to train on the upcoming 32k version as well. Website: https://dphn.ai Twitter: https://x.com/dphnAI Web Chat: https://chat.dphn.ai Telegram bot: https://t.me/DolphinAIbot Our appreciation for the sponsors of Dolphin 2.9.1: This model is based on Yi-1.5-34b, and is governed by apache 2.0 license. The base model has 4k context, but we used rope theta of 1000000.0 and the full-weight fine-tuning was with 8k sequence length. Dolphin 2.9.1 uses ChatML prompt template format. example: Dolphin-2.9.1 has a variety of instruction, conversational, and coding skills. It also has initial agentic abilities and supports function calling. Dolphin is uncensored.…
Read the full model card ↗ · Preview checked 2026-10-27T22:25:51.146Z
Inside the original model card — Document outline
- Dolphin 2.9.1 Yi 1.5 34b 🐬
- Evals
- Training
- out-yi
- Model description
- Intended uses & limitations
- Training and evaluation data
- Training procedure
- Training hyperparameters
- Training results
- Framework versions
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Model overview
singularityyyyy/dolphin-2.9.1-yi-1.5-34b is a task-unspecified model repository published by singularityyyyy on Hugging Face. A library was not reported.
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Model facts
- Task
- Not reported
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 1
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 34,388,917,248
- Architecture
- LlamaForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-15T06:14:56.000Z
- Last modified
- 2026-10-15T06:14:56.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: 01-ai/Yi-1.5-34B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-15T06:42:18.893Z. Daily imports are snapshots, not real-time monitoring.
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