Create README.md

README.md

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+---
+license: apache-2.0
+language:
+- en
+- es
+- fr
+- de
+- it
+- pt
+- ru
+- ar
+- hi
+- ko
+- zh
+library_name: transformers
+base_model:
+- arcee-ai/Trinity-Nano-Preview
+base_model_relation: quantized
+---
+<div align="center">
+  <picture>
+    <img
+      src="https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/i-v1KyAMOW_mgVGeic9WJ.png"
+      alt="Arcee Trinity Mini"
+      style="max-width: 100%; height: auto;"
+    >
+  </picture>
+</div>
+
+# Trinity Nano Preview GGUF
+
+Trinity Nano Preview is a preview of Arcee AI's 6B MoE model with 1B active parameters. It is the small-sized model in our new Trinity family, a series of open-weight models for enterprise and tinkerers alike.
+
+This is a chat tuned model, with a delightful personality and charm we think users will love. We note that this model is pushing the limits of sparsity in small language models with only 800M non-embedding parameters active per token, and as such **may be unstable** in certain use cases, especially in this preview.
+
+This is an *experimental* release, it's fun to talk to but will not be hosted anywhere, so download it and try it out yourself!
+
+These are the GGUF files for running on llama.cpp powered platforms
+
+***
+
+Trinity Nano Preview is trained on 10T tokens gathered and curated through a key partnership with [Datology](https://www.datologyai.com/), building upon the excellent dataset we used on [AFM-4.5B](https://huggingface.co/arcee-ai/AFM-4.5B) with additional math and code.
+
+Training was performed on a cluster of 512 H200 GPUs powered by [Prime Intellect](https://www.primeintellect.ai/) using HSDP parallelism.
+
+More details, including key architecture decisions, can be found on our blog [here](https://www.arcee.ai/blog)
+
+***
+
+## Model Details
+
+* **Model Architecture:** AfmoeForCausalLM
+* **Parameters:** 6B, 1B active
+* **Experts:** 128 total, 8 active, 1 shared
+* **Context length:** 128k
+* **Training Tokens:** 10T
+* **License:** [Apache 2.0](https://huggingface.co/arcee-ai/Trinity-Mini#license)
+
+***
+
+<div align="center">
+  <picture>
+      <img src="https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/sSVjGNHfrJKmQ6w8I18ek.png" style="background-color:ghostwhite;padding:5px;" width="17%" alt="Powered by Datology">
+  </picture>
+</div>
+
+### Running our model
+
+- [llama.cpp](https://huggingface.co/arcee-ai/Trinity-Mini#llamacpp)
+- [LM Studio](https://huggingface.co/arcee-ai/Trinity-Mini#lm-studio)
+
+## llama.cpp
+
+Supported in llama.cpp release b7061
+
+Download the latest [llama.cpp release](https://github.com/ggml-org/llama.cpp/releases)
+
+```
+llama-server -hf arcee-ai/Trinity-Nano-Preview-GGUF:q4_k_m
+```
+
+## LM Studio
+
+Supported in latest LM Studio runtime
+
+Update to latest available, then verify your runtime by:
+
+1. Click "Power User" at the bottom left
+2. Click the green "Developer" icon at the top left
+3. Select "LM Runtimes" at the top
+4. Refresh the list of runtimes and verify that the latest is installed
+
+Then, go to Model Search and search for `arcee-ai/Trinity-Nano-Preview-GGUF`, download your prefered size, and load it up in the chat
+
+
+## License
+
+Trinity-Nano-Preview is released under the Apache-2.0 license.