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Model: prithivMLmods/Llama-SmolTalk-3.2-1B-Instruct
Source: Original Platform

.gitattributes

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README.md

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+---
+license: creativeml-openrail-m
+datasets:
+- HuggingFaceTB/smoltalk
+language:
+- en
+base_model:
+- meta-llama/Llama-3.2-1B-Instruct
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- Llama
+- Llama-CPP
+- SmolTalk
+- ollama
+- bin
+---
+## Llama-SmolTalk-3.2-1B-Instruct Model File
+
+The **Llama-SmolTalk-3.2-1B-Instruct** model is a lightweight, instruction-tuned model designed for efficient text generation and conversational AI tasks. With a 1B parameter architecture, this model strikes a balance between performance and resource efficiency, making it ideal for applications requiring concise, contextually relevant outputs. The model has been fine-tuned to deliver robust instruction-following capabilities, catering to both structured and open-ended queries.
+ 
+| File Name [ Updated Files ]                 | Size      | Description                                | Upload Status  |
+|----------------------------|-----------|--------------------------------------------|----------------|
+| `.gitattributes`           | 1.57 kB   | Git attributes configuration file          | Uploaded       |
+| `README.md`                | 42 Bytes  | Initial README                             | Uploaded       |
+| `config.json`              | 1.03 kB   | Configuration file                         | Uploaded       |
+| `generation_config.json`   | 248 Bytes | Configuration for text generation          | Uploaded       |
+| `pytorch_model.bin`        | 2.47 GB   | PyTorch model weights                      | Uploaded (LFS) |
+| `special_tokens_map.json`  | 477 Bytes | Special token mappings                     | Uploaded       |
+| `tokenizer.json`           | 17.2 MB   | Tokenizer configuration                    | Uploaded (LFS) |
+| `tokenizer_config.json`    | 57.4 kB   | Additional tokenizer settings              | Uploaded       |
+
+| Model Type | Size | Context Length | Link |
+|------------|------|----------------|------|
+| GGUF | 1B | - | [🤗 Llama-SmolTalk-3.2-1B-Instruct-GGUF](https://huggingface.co/prithivMLmods/Llama-SmolTalk-3.2-1B-Instruct-GGUF) |
+
+
+### Key Features:
+1. **Instruction-Tuned Performance**: Optimized to understand and execute user-provided instructions across diverse domains.
+2. **Lightweight Architecture**: With just 1 billion parameters, the model provides efficient computation and storage without compromising output quality.
+3. **Versatile Use Cases**: Suitable for tasks like content generation, conversational interfaces, and basic problem-solving.
+
+### Intended Applications:
+- **Conversational AI**: Engage users with dynamic and contextually aware dialogue.
+- **Content Generation**: Produce summaries, explanations, or other creative text outputs efficiently.
+- **Instruction Execution**: Follow user commands to generate precise and relevant responses.
+
+### Technical Details:
+The model leverages PyTorch for training and inference, with a tokenizer optimized for seamless text input processing. It comes with essential configuration files, including `config.json`, `generation_config.json`, and tokenization files (`tokenizer.json` and `special_tokens_map.json`). The primary weights are stored in a PyTorch binary format (`pytorch_model.bin`), ensuring easy integration with existing workflows.
+
+**Model Type**: GGUF  
+**Size**: 1B Parameters  
+
+The **Llama-SmolTalk-3.2-1B-Instruct** model is an excellent choice for lightweight text generation tasks, offering a blend of efficiency and effectiveness for a wide range of applications.

config.json

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+{
+  "_name_or_path": "unsloth/llama-3.2-1b-instruct-bnb-4bit",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pad_token_id": 128004,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "float16",
+  "transformers_version": "4.46.2",
+  "unsloth_version": "2024.11.9",
+  "use_cache": true,
+  "vocab_size": 128256
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+{
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "max_length": 131072,
+  "pad_token_id": 128004,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.46.2"
+}

model.safetensors

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+size 2471645464

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|finetune_right_pad_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}