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Model: prithivMLmods/Deepthink-Llama-3-8B-Preview Source: Original Platform
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README.md
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README.md
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---
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license: llama3
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language:
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- en
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- zh
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base_model:
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- meta-llama/Llama-3.1-8B-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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- text-generation-inference
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---
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# **Deepthink-Llama-3-8B-Preview**
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The **Deepthink-Llama-3-8B-Preview** is a fine-tuned version of the **Llama-3.1-8B** base model, further enhanced with the **Rethinking R1 Dataset Logits** for superior text generation. This model is designed for advanced reasoning, structured problem-solving, and contextually rich outputs, making it an excellent choice for applications in **education, programming, research, and creative writing**.
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With its optimized architecture, **Deepthink-Llama-3-8B-Preview** excels at:
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- **Logical reasoning** and **step-by-step problem solving**
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- **Mathematical and coding tasks**, leveraging specialized expert models
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- **Generating long-form content** (up to 8K tokens) with improved coherence
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- **Understanding structured data**, including tables and JSON outputs
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- **Instruction following** and **adapting to diverse system prompts**, making it ideal for chatbots and AI assistants
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### **Key Features**
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- **Supports long-context processing** of up to **128K tokens**
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- **Multilingual capabilities** for 29+ languages, including English, Chinese, Spanish, French, German, Arabic, and more
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- **Fine-tuned using Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF)**
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### **Model Architecture**
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Deepthink-Llama-3-8B-Preview is built on the optimized transformer architecture of **Llama-3.1-8B**, integrating **enhanced dataset logits from Rethinking R1** for better contextual understanding and output quality.
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### **Use with transformers**
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To run conversational inference using `transformers >= 4.43.0`, use the `pipeline` abstraction or leverage the `generate()` function with the Auto classes.
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Ensure your environment is updated with:
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```bash
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pip install --upgrade transformers
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```
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#### **Example Usage**
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```python
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import torch
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from transformers import pipeline
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model_id = "prithivMLmods/Deepthink-Llama-3-8B-Preview"
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pipe = pipeline(
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"text-generation",
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model=model_id,
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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messages = [
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{"role": "system", "content": "You are a pirate chatbot who always responds in pirate speak!"},
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{"role": "user", "content": "Who are you?"},
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]
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outputs = pipe(
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messages,
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max_new_tokens=256,
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)
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print(outputs[0]["generated_text"][-1])
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```
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### **Intended Use**
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**Deepthink-Llama-3-8B-Preview** is designed for a wide range of applications requiring deep reasoning, structured outputs, and logical text generation. It is particularly suited for:
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- **Education & Research**: Generating detailed explanations, step-by-step solutions, and structured academic content.
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- **Programming & Code Generation**: Assisting in code writing, debugging, and algorithm explanations with improved logic structuring.
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- **AI Chatbots & Assistants**: Providing context-aware, instruction-following responses for conversational AI applications.
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- **Creative Writing**: Generating high-quality stories, articles, and structured narratives with coherence.
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- **Data Analysis & Structured Output Generation**: Interpreting and generating JSON, tables, and formatted outputs for structured data processing.
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### **Limitations**
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While **Deepthink-Llama-3-8B-Preview** is optimized for deep reasoning and structured outputs, it has some limitations:
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1. **Not a Real-time Knowledge Source**
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- The model is trained on a fixed dataset and does not have real-time internet access. It may not provide up-to-date information on rapidly evolving topics.
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2. **Potential Biases**
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- As with all AI models, responses may reflect biases present in the training data. Users should critically evaluate outputs, especially in sensitive domains.
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3. **Mathematical & Logical Reasoning Constraints**
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- While strong in step-by-step reasoning, it may occasionally produce incorrect mathematical calculations or logical inconsistencies. External verification is recommended for critical applications.
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4. **Handling of Extremely Long Contexts**
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- While it supports up to 128K tokens, efficiency and coherence may degrade when processing very long documents or conversations.
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5. **Limited Handling of Ambiguity**
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- The model may struggle with highly ambiguous or context-dependent queries, sometimes generating plausible but incorrect responses.
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6. **Ethical & Compliance Considerations**
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- Not intended for generating misinformation, automating legal or medical decisions, or other high-risk applications without human oversight.
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config.json
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config.json
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"_name_or_path": "meta-llama/Llama-3.1-8B-Instruct",
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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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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": 128001,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pad_token_id": 128004,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 8.0,
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"rope_type": "llama3"
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"transformers_version": "4.48.3",
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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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"temperature": 0.6,
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"top_p": 0.95,
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"transformers_version": "4.48.3"
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"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<｜begin▁of▁sentence｜>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<｜end▁of▁sentence｜>",
|
||||
"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
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:d91915040cfac999d8c55f4b5bc6e67367c065e3a7a4e4b9438ce1f256addd86
|
||||
size 17209530
|
||||
2068
tokenizer_config.json
Normal file
2068
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user