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Model: MaziyarPanahi/Calme-12B-Instruct-v0.1
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+- mistral
+- 12b
+- calme
+model-index:
+- name: Calme-12B-Instruct-v0.1
+  results: []
+model_name: Calme-12B-Instruct-v0.1
+inference: false
+model_creator: MaziyarPanahi
+pipeline_tag: text-generation
+quantized_by: MaziyarPanahi
+---
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/5fd5e18a90b6dc4633f6d292/LzEf6vvq2qIiys-q7l9Hq.webp" width="550" />
+
+# MaziyarPanahi/Calme-12B-Instruct-v0.1
+
+## Model Description
+
+Calme-12B is a state-of-the-art language model with 12 billion parameters, merged and fine-tuned over high-quality datasets on top of Calme-7B-Instruct-v0.9. The Calme-7B models excel in generating text that resonates with clarity, calmness, and coherence.
+
+### How to Use
+
+```python
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="MaziyarPanahi/Calme-12B-Instruct-v0.1")
+
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/Calme-12B-Instruct-v0.1")
+model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/Calme-12B-Instruct-v0.1")
+```
+
+### Quantized Models
+
+> I love how GGUF democratizes the use of Large Language Models (LLMs) on commodity hardware, more specifically, personal computers without any accelerated hardware. Because of this, I am committed to converting and quantizing any models I fine-tune to make them accessible to everyone!
+
+- GGUF (2/3/4/5/6/8 bits): [MaziyarPanahi/Calme-12B-Instruct-v0.1-GGUF](https://huggingface.co/MaziyarPanahi/Calme-12B-Instruct-v0.1-GGUF)
+

config.json

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+{
+  "_name_or_path": "MaziyarPanahi/Calme-7B-Instruct-v0.9",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 56,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.39.3",
+  "use_cache": true,
+  "vocab_size": 32000
+}

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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": "</s>",
+    "lstrip": false,
+    "normalized": false,
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+    "single_word": false
+  },
+  "pad_token": {
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
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+      "normalized": false,
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+      "lstrip": false,
+      "normalized": false,
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+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 32768,
+  "pad_token": "<unk>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}