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Model: prithivMLmods/Llama-Sentient-3.2-3B-Instruct Source: Original Platform
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README.md
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README.md
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---
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license: creativeml-openrail-m
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datasets:
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- mlabonne/lmsys-arena-human-preference-55k-sharegpt
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language:
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- en
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base_model:
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- meta-llama/Llama-3.2-3B-Instruct
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- Llama
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- Llama-Cpp
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- Llama3.2
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- Instruct
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- 3B
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- bin
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- Sentient
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- NLU
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---
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## Llama-Sentient-3.2-3B-Instruct Modelfile
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The **Llama-Sentient-3.2-3B-Instruct** model is a fine-tuned version of the **Llama-3.2-3B-Instruct** model, optimized for **text generation** tasks, particularly where instruction-following abilities are critical. This model is trained on the **mlabonne/lmsys-arena-human-preference-55k-sharegpt** dataset, which enhances its performance in conversational and advisory contexts, making it suitable for a wide range of applications.
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| File Name | Size | Description | Upload Status |
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|-----------------------------------------|--------------|-----------------------------------------|----------------|
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| `.gitattributes` | 1.57 kB | Git attributes configuration file | Uploaded |
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| `README.md` | 42 Bytes | Initial commit README | Uploaded |
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| `config.json` | 1.04 kB | Configuration file | Uploaded |
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| `generation_config.json` | 248 Bytes | Generation configuration file | Uploaded |
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| `pytorch_model-00001-of-00002.bin` | 4.97 GB | PyTorch model file (part 1) | Uploaded (LFS) |
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| `pytorch_model-00002-of-00002.bin` | 1.46 GB | PyTorch model file (part 2) | Uploaded (LFS) |
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| `pytorch_model.bin.index.json` | 21.2 kB | Model index file | Uploaded |
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| `special_tokens_map.json` | 477 Bytes | Special tokens mapping | Uploaded |
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| `tokenizer.json` | 17.2 MB | Tokenizer JSON file | Uploaded (LFS) |
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| `tokenizer_config.json` | 57.4 kB | Tokenizer configuration file | Uploaded |
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| Model Type | Size | Context Length | Link |
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|------------|------|----------------|------|
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| GGUF | 3B | - | [🤗 Llama-Sentient-3.2-3B-Instruct-GGUF](https://huggingface.co/prithivMLmods/Llama-Sentient-3.2-3B-Instruct-GGUF) |
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### Key Use Cases:
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1. **Conversational AI**: Engage in intelligent dialogue, offering coherent responses and following instructions, useful for customer support and virtual assistants.
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2. **Text Generation**: Generate high-quality, contextually appropriate content such as articles, summaries, explanations, and other forms of written communication based on user prompts.
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3. **Instruction Following**: Follow specific instructions with accuracy, making it ideal for tasks that require structured guidance, such as technical troubleshooting or educational assistance.
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The model uses a **PyTorch-based architecture** and includes a range of necessary files such as configuration files, tokenizer files, and model weight files for deployment.
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### Intended Applications:
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- **Chatbots** for virtual assistance, customer support, or as personal digital assistants.
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- **Content Creation Tools**, aiding in the generation of written materials, blog posts, or automated responses based on user inputs.
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- **Educational and Training Systems**, providing explanations and guided learning experiences in various domains.
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- **Human-AI Interaction** platforms, where the model can follow user instructions to provide personalized assistance or perform specific tasks.
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With its strong foundation in instruction-following and conversational contexts, the **Llama-Sentient-3.2-3B-Instruct** model offers versatile applications for both general and specialized domains.
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config.json
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{
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"_name_or_path": "unsloth/llama-3.2-3b-instruct-bnb-4bit",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"head_dim": 128,
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"hidden_act": "silu",
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 24,
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"rope_scaling": {
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"rope_type": "llama3"
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"rope_theta": 500000.0,
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"tie_word_embeddings": true,
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"torch_dtype": "float16",
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"transformers_version": "4.46.2",
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"unsloth_version": "2024.11.9",
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"use_cache": true,
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"vocab_size": 128256
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}
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configuration.json
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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generation_config.json
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"temperature": 0.6,
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"top_p": 0.9,
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||||||
|
"model.layers.9.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||||
|
"model.layers.9.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||||
|
"model.layers.9.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||||
|
"model.layers.9.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||||
|
"model.layers.9.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||||
|
"model.norm.weight": "pytorch_model-00002-of-00002.bin"
|
||||||
|
}
|
||||||
|
}
|
||||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
|||||||
|
{
|
||||||
|
"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
|
||||||
|
}
|
||||||
|
}
|
||||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
2064
tokenizer_config.json
Normal file
2064
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user