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.gitattributes

@@ -33,3 +33,16 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+icaro-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+icaro-f16.gguf filter=lfs diff=lfs merge=lfs -text
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+icaro-IQ4_NL.gguf filter=lfs diff=lfs merge=lfs -text
+assets/icaro.png filter=lfs diff=lfs merge=lfs -text
+GGUF/icaro-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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+GGUF/icaro-Q4_K_M_IMAT.gguf filter=lfs diff=lfs merge=lfs -text
+GGUF/icaro.imatrix filter=lfs diff=lfs merge=lfs -text

GGUF/icaro-f16.gguf

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README.md

@@ -1,3 +1,76 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+---
+![icaro](https://huggingface.co/alexsobolev/Icaro-LM/resolve/main/assets/icaro.jpg)
+**Icaro-LM**, is a language model based on Qwen2 1.5B, designed for mobile efficiency, empathetic chat, and function calling. 
+This model is optimized for fast inference and low resource consumption on mobile devices, providing a seamless and responsive user experience. 
+Icaro-LM is fine-tuned for empathetic conversations and can understand and execute function calls within the conversation flow, 
+making it a versatile solution for various applications.
+
+
+## Key Features:
+
+1. **Mobile Efficiency**: Optimized for fast inference and low resource consumption on mobile devices.
+2. **Empathetic Chat**: Fine-tuned on datasets curated for empathetic and emotionally intelligent conversations.
+3. **Function Calling**: Can understand and execute function calls within the conversation flow.
+
+## Use Cases:
+
+- Mobile chatbots and virtual assistants
+- Emotional support applications
+- Task automation on mobile devices
+
+## Prompt format
+
+```
+<|im_start|>system
+{system_prompt}<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+
+```
+
+## Function calling example
+```
+<|im_start|>system  
+You are a helpful assistant with access to the following functions. Use them if required -[{ 
+   "name":"get_news", 
+   "description":"Get the latest news.", 
+   "parameters":{ 
+      "type":"object", 
+      "properties":{ 
+         "location":{ 
+            "type":"string", 
+            "description":"The location for which to fetch news" 
+         } 
+      }, 
+      "required":[ 
+         "location" 
+      ] 
+   } 
+}, 
+{ 
+  "name": "get_current_weather", 
+  "description": "Get the current weather", 
+  "parameters": { 
+      "type": "object", 
+      "properties": { 
+          "location": { 
+              "type": "string", 
+              "description": "The city and state, e.g. San Francisco, CA" 
+          }, 
+      }, 
+      "required": ["location"], 
+  }, 
+}]<|im_end|>  
+<|im_start|>user  
+What's the latest news in Samara?<|im_end|>  
+<|im_start|>assistant
+```
+Result:
+```
+<|im_start|>assistant
+<functioncall> {"name": "get_news", "arguments": '{"location": "Samara"}'}  <|im_end|>
+```
+

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/Qwen2-1.5b-bnb-4bit",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {
+    "loftq_bits": 4,
+    "loftq_iter": 1
+  },
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": "unsloth",
+  "target_modules": [
+    "down_proj",
+    "up_proj",
+    "q_proj",
+    "v_proj",
+    "k_proj",
+    "gate_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": true
+}

adapter_model.safetensors

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added_tokens.json

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config.json

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+{
+  "_name_or_path": "unsloth/Qwen2-1.5b-bnb-4bit",
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+    "Qwen2ForCausalLM"
+  ],
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+  "max_window_layers": 28,
+  "model_type": "qwen2",
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+  "rms_norm_eps": 1e-06,
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+  "sliding_window": 131072,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.2",
+  "unsloth_version": "2024.6",
+  "use_cache": true,
+  "use_sliding_window": false,
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+}

generation_config.json

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+}

lora/adapter_config.json

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lora/tokenizer_config.json

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merged_model/config.json

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