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Model: prithivMLmods/Ganymede-Llama-3.3-3B-Preview
Source: Original Platform

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README.md

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+---
+library_name: transformers
+tags:
+- math
+- text-generation-inference
+- code
+- 3B
+license: llama3.2
+language:
+- en
+base_model:
+- meta-llama/Llama-3.2-3B-Instruct
+pipeline_tag: text-generation
+---
+![zxdfzdfvadsv.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/FX4IIp4uNpb7uaez3dt9H.png)
+
+# **Ganymede-Llama-3.3-3B-Preview**  
+
+>  Ganymede-Llama-3.3-3B-Preview is based on the **Llama-3.2-3B-Instruct** architecture, featuring **unlocked abliterated** capabilities and **improved mathematical analysis**. Fine-tuned on a high-quality synthetic dataset derived from Llama's **Instruct** series, it excels in **chain-of-thought (CoT) reasoning, logical problem-solving, and structured data comprehension**. The model is ideal for complex reasoning tasks, instruction-following, and text generation, with superior adaptability across **multi-turn conversations and long-context tasks**.  
+
+### **Key Improvements**  
+1. **Unlocked Abliterated Reasoning**: Enhanced **multi-step problem-solving, logical deduction, and contextual analysis**.  
+2. **Mathematical & Analytical Excellence**: Stronger capabilities in **math problem-solving, theorem proving, and complex numerical analysis**.  
+3. **Fine-Tuned Instruction Following**: Generates structured responses (e.g., **JSON, XML, Markdown**) and **long-form text (4K+ tokens)**.  
+4. **Extended Long-Context Support**: Handles up to **128K tokens** with improved memory retention and coherence over long passages.  
+5. **Advanced Adaptability**: Excels in **role-playing, multi-turn dialogues, and diverse system prompts**.  
+6. **Multilingual Proficiency**: Supports over **20 languages**, including **English, Chinese, French, Spanish, Portuguese, German, and more**.  
+
+### **Quickstart with Transformers**  
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "prithivMLmods/Ganymede-Llama-3.3-3B-Preview"
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype="auto",
+    device_map="auto",
+    trust_remote_code=True
+)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+prompt = "Explain the concept of logical reasoning in AI."
+messages = [
+    {"role": "system", "content": "You are an expert AI assistant specialized in reasoning, logic, and mathematical analysis."},
+    {"role": "user", "content": prompt}
+]
+text = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True
+)
+model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
+
+generated_ids = model.generate(
+    **model_inputs,
+    max_new_tokens=256
+)
+generated_ids = [
+    output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
+]
+
+response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
+print(response)
+```
+
+### **Intended Use**  
+- **Advanced Logical & Analytical Reasoning**: Designed for **multi-step problem-solving, deductive reasoning, and cognitive tasks**.  
+- **Enhanced Mathematical Computation**: Excels in **numerical analysis, theorem proving, symbolic reasoning, and complex calculations**.  
+- **Code Generation & Debugging**: Generates **optimized code**, detects **bugs**, and enhances **programming workflows**.  
+- **Structured Data Processing**: Handles **tables, JSON, and structured formats** for data-centric applications.  
+- **Multilingual Reasoning & Translation**: High proficiency across **20+ languages** for **global AI applications**.  
+- **Extended Text Generation**: Ideal for generating **technical documentation, research papers, instructional guides, and in-depth reports**.  
+
+### **Limitations**  
+1. **Moderate Computational Requirements**: Requires **mid-to-high-end consumer GPUs** for optimal inference.  
+2. **Language-Specific Variability**: Performance may differ across languages, particularly for **low-resource languages**.  
+3. **Potential Error Accumulation**: Long-form text generation may introduce **inconsistencies** over extended outputs.  
+4. **Limited Real-World Awareness**: Knowledge is restricted to **training data** and may not reflect **recent world events**.  
+5. **Prompt Sensitivity**: The quality of responses depends on **prompt clarity and specificity**.

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128039,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 24,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "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": "4.51.0.dev0",
+  "use_cache": false,
+  "vocab_size": 128256
+}

configuration.json

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

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.51.0.dev0"
+}

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