6d4d79eea3c830259d762e38ffa6d9b8aafd12066c4e29a16fdf83bfa40f7ac3

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+- mistral
+- 7b
+- calme
+model-index:
+- name: Calme-7B-Instruct-v0.1.1
+  results: []
+datasets:
+- ise-uiuc/Magicoder-Evol-Instruct-110K
+model_name: Calme-7B-Instruct-v0.1.1
+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-7B-Instruct-v0.1
+
+## Model Description
+
+Calme-7B is a state-of-the-art language model with 7 billion parameters, fine-tuned over high-quality datasets on top of Mistral-7B. 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-7B-Instruct-v0.1.1")
+
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/Calme-7B-Instruct-v0.1.1")
+model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/Calme-7B-Instruct-v0.1.1")
+```
+
+### Quantized Models
+
+coming soon
+
+## Examples
+
+```
+<s>[INST] You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe.  Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.
+
+If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.
+
+describe about pros and cons of docker system. [/INST]
+```
+
+<details>
+  <summary>Show me the response</summary>
+  
+  ```
+
+  ```
+  
+</details>
+
+
+```
+<s> [INST] There are three killers in a room. Someone enters the room and kills one of them. Nobody leaves the room. How many killers are left in the room? Explain your reasoning step by step. [/INST]
+```
+
+<details>
+  <summary>Show me the response</summary>
+  
+  ```
+
+  ```
+  
+</details>
+
+
+```
+```
+
+<details>
+  <summary>Show me the response</summary>
+  
+  ```
+
+  ```
+  
+</details>
+
+
+```
+
+```
+
+<details>
+  <summary>Show me the response</summary>
+  
+  ``` 
+
+  ```
+  
+</details>
+
+
+```
+```
+
+<details>
+  <summary>Show me the response</summary>
+  
+  ```
+
+  ```  
+</details>
+
+
+**Multilingual:**
+
+```
+
+```
+
+<details>
+  <summary>Show me the response</summary>
+  
+  ```
+
+  ```
+</details>
+
+
+
+```
+
+```
+
+<details>
+  <summary>Show me the response</summary>
+  
+  ```
+
+  ```
+  
+</details>
+
+
+```
+
+```
+
+<details>
+  <summary>Show me the response</summary>
+  
+  ```
+
+  ```
+  
+</details>

config.json

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+{
+  "_name_or_path": "MaziyarPanahi/Calme-7B-Instruct-v0.1",
+  "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": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.39.0.dev0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "transformers_version": "4.39.0.dev0"
+}

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special_tokens_map.json

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

tokenizer.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
+size 493443

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": true,
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+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
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+      "special": true
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+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
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+  "bos_token": "<s>",
+  "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = 'You are a helpful assistant.' %}{% endif %}{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in loop_messages %}{% if loop.index0 == 0 %}{{'<|im_start|>system\n' + system_message + '<|im_end|>\n'}}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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+  "legacy": true,
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+  "padding_side": "right",
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+  "tokenizer_class": "LlamaTokenizer",
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+  "use_default_system_prompt": false,
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+}