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Model: aixonlab/Zinakha-12b
Source: Original Platform

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README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model:
+- mistralai/Mistral-Nemo-Base-2407
+---
+
+![Zinakha-12b Banner](https://cdn-uploads.huggingface.co/production/uploads/66dcee3321f901b049f48002/tIP5l3rHfawQwNg0PvgUN.png)
+
+# Zinakha-12b 🧙‍♂️
+
+
+Zinakha 12b tries to become the perfect companion for any chat which involves multiple roles. The ability to understand context is pretty awesome and excels in creativity and storytelling.
+It is built on Nemo 12b and trained on different datasets as well as some layer merges to ehance its capabilities.
+
+## Model Details 📊
+
+- **Developed by:** Aixon Lab
+- **Model type:** Causal Language Model
+- **Language(s):** English (primarily), may support other languages
+- **License:** Apache 2.0
+- **Repository:** https://huggingface.co/aixonlab/Zinakha-12b
+
+## Quantization
+- **GGUF:** https://huggingface.co/mradermacher/Zinakha-12b-GGUF
+- **iMatrix GGUF:** https://huggingface.co/mradermacher/Zinakha-12b-i1-GGUF
+
+## Model Architecture 🏗️
+
+- **Base model:** mistralai/Mistral-Nemo-Base-2407
+- **Parameter count:** ~12 billion
+- **Architecture specifics:** Transformer-based language model
+
+## Intended Use 🎯
+As an advanced language model for various natural language processing tasks, including but not limited to text generation (excels in chat), question-answering, and analysis.
+
+## Ethical Considerations 🤔
+As a model based on multiple sources, Zinakha-12b may inherit biases and limitations from its constituent models. Users should be aware of potential biases in generated content and use the model responsibly.
+
+## Performance and Evaluation
+Performance metrics and evaluation results for Zinakha-12b are yet to be determined. Users are encouraged to contribute their findings and benchmarks.
+
+## Limitations and Biases
+The model may exhibit biases present in its training data and constituent models. It's crucial to critically evaluate the model's outputs and use them in conjunction with human judgment.
+
+## Additional Information
+For more details on the base model and constituent models, please refer to their respective model cards and documentation.
+
+## How to Use 
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model = AutoModelForCausalLM.from_pretrained("aixonlab/Zinakha-12b")
+tokenizer = AutoTokenizer.from_pretrained("aixonlab/Zinakha-12b")
+
+prompt = "Once upon a time"
+input_ids = tokenizer(prompt, return_tensors="pt").input_ids
+
+generated_ids = model.generate(input_ids, max_length=100)
+generated_text = tokenizer.decode(generated_ids, skip_special_tokens=True)
+print(generated_text)

config.json

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+{
+  "_name_or_path": "./models/12b-merged",
+  "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": "float16",
+  "transformers_version": "4.45.2",
+  "use_cache": false,
+  "vocab_size": 131072
+}

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,
+  "eos_token_id": 2,
+  "transformers_version": "4.45.2",
+  "use_cache": false
+}

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+    "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
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4b4c8fcd33487a449c07f423d47adb035bba8347ccf13eb074b4d1fef8acf919
+size 17078288