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Model: QwenCollection/Hercules-Mini-1.8B
Source: Original Platform

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README.md

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+---
+library_name: transformers
+license: other
+datasets:
+- Locutusque/hercules-v4.0
+language:
+- en
+inference:
+  parameters:
+    do_sample: true
+    temperature: 1
+    top_p: 0.7
+    top_k: 4
+    max_new_tokens: 250
+    repetition_penalty: 1.1
+---
+
+# Hercules-Mini-1.8B 
+
+<!-- Provide a quick summary of what the model is/does. -->
+We fine-tuned Qwen1.5-1.8B on Locutusque's Hercules-v4.
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This model has capabilities in math, coding, function calling, roleplay, and more. We fine-tuned it using 700,000 examples of Hercules-v4. 
+
+- **Developed by:** M4-ai
+- **Language(s) (NLP):** English and maybe Chinese
+- **License:** tongyi-qianwen license
+- **Finetuned from model:** [Qwen1.5-1.8B](https://huggingface.co/Qwen/Qwen1.5-1.8B)
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+General purpose assistant, question answering, chain-of-thought, etc..
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+The eos token was not setup properly, so to prevent infinite generation you'll need to implement a stopping criteria when the model generates the <|im_end|> token. 
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## Evaluation
+Coming soon
+
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+https://huggingface.co/datasets/Locutusque/hercules-v4.0
+
+
+#### Training Hyperparameters
+
+- **Training regime:** bf16 non-mixed precision
+## Technical Specifications
+
+#### Hardware
+
+We used 8 Kaggle TPUs, and we trained at a global batch size of 256 and sequence length of 1536
+
+## Contributions
+
+Thanks to @Tonic, @aloobun, @fhai50032, and @Locutusque for their contributions to this model. 

added_tokens.json

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+{
+  "<|endoftext|>": 151643,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644
+}

config.json

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+{
+  "_name_or_path": "M4-ai/tau-1.8B",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 5504,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 21,
+  "model_type": "qwen2",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 16,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 1000000.0,
+  "sliding_window": 32768,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.39.2",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

configuration.json

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

generation_config.json

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+{
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "transformers_version": "4.39.2"
+}

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special_tokens_map.json

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+{
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+    "<|im_end|>"
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+      "special": true
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+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}