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Model: shuttleai/shuttle-2.5-mini
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+---
+
+<p style="font-size:20px;" align="center">
+<div style="width: 100%; height: 300px; overflow: hidden; border-radius: 15px; margin: auto; position: relative;">
+    <img 
+        src="https://cdn.shuttleai.app/thumbnail.png" 
+        alt="ShuttleAI Thumbnail" 
+        style="width: 100%; height: auto; display: block; margin: auto; position: absolute; top: 50%; left: 50%; transform: translate(-50%, -50%); object-fit: cover;">
+</div>
+
+<p align="center">
+    💻 <a href="https://shuttleai.app/" target="_blank">Use via API</a>
+</p>
+
+## Shuttle-2.5-mini (beta) [2024/07/27]
+
+We are excited to introduce Shuttle-2.5-mini, our next-generation state-of-the-art language model designed to excel in complex chat, multilingual communication, reasoning, and agent tasks.
+
+- **Shuttle-2.5-mini** is a fine-tuned version of [Mistral-Nemo-Base-2407](https://huggingface.co/mistralai/Mistral-Nemo-Base-2407), emulating the writing style of Claude 3 models and thoroughly trained on role-playing data.
+
+## Model Details
+
+* **Model Name**: Shuttle-2.5-mini
+* **Developed by**: ShuttleAI Inc.
+* **Base Model**: [Mistral-Nemo-Base-2407](https://huggingface.co/mistralai/Mistral-Nemo-Base-2407)
+* **Parameters**: 13B
+* **Language(s)**: Multilingual
+* **Repository**: [https://huggingface.co/shuttleai](https://huggingface.co/shuttleai)
+* **Fine-Tuned Model**: [https://huggingface.co/shuttleai/shuttle-2.5-mini](https://huggingface.co/shuttleai/shuttle-2.5-mini)
+* **Paper**: Shuttle-2.5-mini (Upcoming)
+* **License**: Apache 2.0
+
+## Base Model Architecture
+
+**Mistral Nemo** is a transformer model with the following architecture choices:
+
+- **Layers**: 40
+- **Dimension**: 5,120
+- **Head Dimension**: 128
+- **Hidden Dimension**: 14,436
+- **Activation Function**: SwiGLU
+- **Number of Heads**: 32
+- **Number of kv-heads**: 8 (GQA)
+- **Vocabulary Size**: 2^17 (approximately 128k)
+- **Rotary Embeddings**: Theta = 1M
+
+### Key Features
+
+- Released under the Apache 2 License
+- Trained with a 128k context window
+- Pretrained on a large proportion of multilingual and code data
+- Finetuned to emulate the prose quality of Claude 3 models and extensively on role play data
+
+## Fine-Tuning Details
+
+- **Training Setup**: Trained on 200 million tokens for 24 hours across 2 epochs using 4 A100 PCIe GPUs.
+
+## Prompting
+
+Shuttle-2.5-mini uses ChatML as its prompting format:
+
+```
+<|im_start|>system
+You are a pirate! Yardy harr harr!<|im_end|>
+<|im_start|>user
+Where are you currently!<|im_end|>
+<|im_start|>assistant
+Look ahoy ye scallywag! We're on the high seas!<|im_end|>
+```

config.json

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+{
+  "_name_or_path": "mistralai/Mistral-Nemo-Base-2407",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 1024000,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.43.1",
+  "use_cache": false,
+  "vocab_size": 131074
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "transformers_version": "4.43.1"
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+  }
+}

special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}