Initial commit

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README.md

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+---
+license: apache-2.0
+base_model: Felladrin/Minueza-32M-Base
+pipeline_tag: text-generation
+language:
+  - en
+datasets:
+  - databricks/databricks-dolly-15k
+  - Felladrin/ChatML-databricks-dolly-15k
+  - euclaise/reddit-instruct-curated
+  - Felladrin/ChatML-reddit-instruct-curated
+  - THUDM/webglm-qa
+  - Felladrin/ChatML-WebGLM-QA
+  - starfishmedical/webGPT_x_dolly
+  - Felladrin/ChatML-webGPT_x_dolly
+  - LDJnr/Capybara
+  - Felladrin/ChatML-Capybara
+  - Open-Orca/SlimOrca-Dedup
+  - Felladrin/ChatML-SlimOrca-Dedup
+  - HuggingFaceH4/ultrachat_200k
+  - Felladrin/ChatML-ultrachat_200k
+  - nvidia/HelpSteer
+  - Felladrin/ChatML-HelpSteer
+  - sablo/oasst2_curated
+  - Felladrin/ChatML-oasst2_curated
+  - CohereForAI/aya_dataset
+  - Felladrin/ChatML-aya_dataset
+widget:
+  - text: |-
+      <|im_start|>system
+      You are a career counselor. The user will provide you with an individual looking for guidance in their professional life, and your task is to assist them in determining what careers they are most suited for based on their skills, interests, and experience. You should also conduct research into the various options available, explain the job market trends in different industries, and advice on which qualifications would be beneficial for pursuing particular fields.<|im_end|>
+      <|im_start|>user
+      Heya!<|im_end|>
+      <|im_start|>assistant
+      Hi! How may I help you?<|im_end|>
+      <|im_start|>user
+      I am interested in developing a career in software engineering. What would you recommend me to do?<|im_end|>
+      <|im_start|>assistant
+  - text: |-
+      <|im_start|>system
+      You are a highly knowledgeable assistant. Help the user as much as you can.<|im_end|>
+      <|im_start|>user
+      How I can become a healthier person?<|im_end|>
+      <|im_start|>assistant
+  - text: |-
+      <|im_start|>system
+      You are a helpful assistant who gives creative responses.<|im_end|>
+      <|im_start|>user
+      Write the specs of a game about mages in a fantasy world.<|im_end|>
+      <|im_start|>assistant
+  - text: |-
+      <|im_start|>system
+      You are a helpful assistant who answers user's questions with details.<|im_end|>
+      <|im_start|>user
+      Tell me about the pros and cons of social media.<|im_end|>
+      <|im_start|>assistant
+  - text: |-
+      <|im_start|>system
+      You are a helpful assistant who answers user's questions with details and curiosity.<|im_end|>
+      <|im_start|>user
+      What are some potential applications for quantum computing?<|im_end|>
+      <|im_start|>assistant
+inference:
+  parameters:
+    max_new_tokens: 250
+    do_sample: true
+    temperature: 0.7
+    top_p: 0.5
+    top_k: 35
+    repetition_penalty: 1.176
+---
+
+# Minueza-32M-Chat: A Chat Model of 32M Parameters
+
+- Base model: [Felladrin/Minueza-32M-Base](https://huggingface.co/Felladrin/Minueza-32M-Base)
+- Datasets:
+  - [[ChatML](https://huggingface.co/datasets/Felladrin/ChatML-databricks-dolly-15k)] [databricks/databricks-dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k)
+  - [[ChatML](https://huggingface.co/datasets/Felladrin/ChatML-reddit-instruct-curated)] [euclaise/reddit-instruct-curated](https://huggingface.co/datasets/euclaise/reddit-instruct-curated)
+  - [[ChatML](https://huggingface.co/datasets/Felladrin/ChatML-WebGLM-QA)] [THUDM/webglm-qa](https://huggingface.co/datasets/THUDM/webglm-qa)
+  - [[ChatML](https://huggingface.co/datasets/Felladrin/ChatML-webGPT_x_dolly)] [starfishmedical/webGPT_x_dolly](https://huggingface.co/datasets/starfishmedical/webGPT_x_dolly)
+  - [[ChatML](https://huggingface.co/datasets/Felladrin/ChatML-Capybara)] [LDJnr/Capybara](https://huggingface.co/datasets/LDJnr/Capybara)
+  - [[ChatML](https://huggingface.co/datasets/Felladrin/ChatML-SlimOrca-Dedup)] [Open-Orca/SlimOrca-Dedup](https://huggingface.co/datasets/Open-Orca/SlimOrca-Dedup)
+  - [[ChatML](https://huggingface.co/datasets/Felladrin/ChatML-ultrachat_200k)] [HuggingFaceH4/ultrachat_200k](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k)
+  - [[ChatML](https://huggingface.co/datasets/Felladrin/ChatML-HelpSteer)] [nvidia/HelpSteer](https://huggingface.co/datasets/nvidia/HelpSteer)
+  - [[ChatML](https://huggingface.co/datasets/Felladrin/ChatML-oasst2_curated)] [sablo/oasst2_curated](https://huggingface.co/datasets/sablo/oasst2_curated)
+  - [[ChatML](https://huggingface.co/datasets/Felladrin/ChatML-aya_dataset)] [CohereForAI/aya_dataset](https://huggingface.co/datasets/CohereForAI/aya_dataset)
+
+## Recommended Prompt Format
+
+```
+<|im_start|>system
+{system_message}<|im_end|>
+<|im_start|>user
+{user_message}<|im_end|>
+<|im_start|>assistant
+```
+
+## Recommended Inference Parameters
+
+```yml
+do_sample: true
+temperature: 0.7
+top_p: 0.5
+top_k: 35
+repetition_penalty: 1.176
+```
+
+## Usage Example
+
+```python
+from transformers import pipeline
+
+generate = pipeline("text-generation", "Felladrin/Minueza-32M-Chat")
+
+messages = [
+    {
+        "role": "system",
+        "content": "You are a helpful assistant who answers the user's questions with details and curiosity.",
+    },
+    {
+        "role": "user",
+        "content": "What are some potential applications for quantum computing?",
+    },
+]
+
+prompt = generate.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+
+output = generate(
+    prompt,
+    max_new_tokens=256,
+    do_sample=True,
+    temperature=0.7,
+    top_k=35,
+    top_p=0.5,
+    repetition_penalty=1.176,
+)
+
+print(output[0]["generated_text"])
+```
+
+## License
+
+This model is licensed under the [Apache License 2.0](https://huggingface.co/Felladrin/Minueza-32M-Chat/resolve/main/license.txt).

added_tokens.json

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+{
+  "<|im_end|>": 32000,
+  "<|im_start|>": 32001
+}

config.json

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+{
+  "architectures": ["MistralForCausalLM"],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 312,
+  "initializer_range": 0.02,
+  "intermediate_size": 1092,
+  "max_position_embeddings": 2048,
+  "model_type": "mistral",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 10,
+  "num_key_value_heads": 4,
+  "rms_norm_eps": 1e-6,
+  "rope_theta": 10000.0,
+  "sliding_window": 1024,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32002
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 32000,
+  "transformers_version": "4.38.0.dev0"
+}

license.txt

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|im_end|>",
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+    "single_word": false
+  }
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tokenizer_config.json

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+{
+  "add_bos_token": false,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32000": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32001": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "legacy": true,
+  "model_max_length": 2048,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}