| { | |
| "model_id": "DeepXR/Helion-2.5-Rnd", | |
| "model_name": "Helion-2.5-Rnd", | |
| "full_name": "Helion 2.5 Research and Development", | |
| "organization": "DeepXR", | |
| "release_date": "2025-01-30", | |
| "version": "2.5.0-rnd", | |
| "status": "research", | |
| "description": "Advanced research language model with 70B parameters, designed for exceptional performance across reasoning, code generation, mathematics, and multilingual understanding with 131K context window.", | |
| "architecture": { | |
| "type": "transformer", | |
| "variant": "llama", | |
| "parameters": "70B", | |
| "layers": 32, | |
| "hidden_size": 4096, | |
| "attention_heads": 32, | |
| "kv_heads": 8, | |
| "intermediate_size": 14336, | |
| "vocabulary_size": 128256, | |
| "context_length": 131072, | |
| "rope_theta": 500000, | |
| "positional_encoding": "YARN", | |
| "activation": "SiLU", | |
| "normalization": "RMSNorm" | |
| }, | |
| "capabilities": { | |
| "text_generation": { | |
| "enabled": true, | |
| "quality": "high", | |
| "max_length": 131072 | |
| }, | |
| "code_generation": { | |
| "enabled": true, | |
| "languages": [ | |
| "Python", "JavaScript", "TypeScript", "Java", "C++", "C#", "Go", | |
| "Rust", "Swift", "Kotlin", "Ruby", "PHP", "Scala", "R" | |
| ], | |
| "quality": "high" | |
| }, | |
| "mathematics": { | |
| "enabled": true, | |
| "capabilities": [ | |
| "arithmetic", "algebra", "calculus", "statistics", "proof_generation" | |
| ], | |
| "quality": "high" | |
| }, | |
| "reasoning": { | |
| "enabled": true, | |
| "types": [ | |
| "logical", "analytical", "common_sense", "abstract" | |
| ], | |
| "quality": "high" | |
| }, | |
| "multilingual": { | |
| "enabled": true, | |
| "languages": 50, | |
| "primary_languages": [ | |
| "English", "Spanish", "French", "German", "Chinese", "Japanese", | |
| "Korean", "Russian", "Arabic", "Hindi", "Portuguese", "Italian" | |
| ] | |
| }, | |
| "long_context": { | |
| "enabled": true, | |
| "max_tokens": 131072, | |
| "performance": "optimized" | |
| } | |
| }, | |
| "performance": { | |
| "benchmarks": { | |
| "mmlu": { | |
| "score": 0.847, | |
| "description": "Massive Multitask Language Understanding" | |
| }, | |
| "gsm8k": { | |
| "score": 0.892, | |
| "description": "Grade School Math 8K" | |
| }, | |
| "humaneval": { | |
| "score": 0.756, | |
| "description": "Code Generation Accuracy" | |
| }, | |
| "mbpp": { | |
| "score": 0.723, | |
| "description": "Python Programming Benchmark" | |
| }, | |
| "arc_challenge": { | |
| "score": 0.834, | |
| "description": "ARC Challenge Reasoning" | |
| }, | |
| "hellaswag": { | |
| "score": 0.889, | |
| "description": "Common Sense Inference" | |
| }, | |
| "winogrande": { | |
| "score": 0.823, | |
| "description": "Commonsense Reasoning" | |
| }, | |
| "truthfulqa": { | |
| "score": 0.612, | |
| "description": "Truthfulness in QA" | |
| } | |
| }, | |
| "inference": { | |
| "throughput_tokens_per_second": "30-50", | |
| "latency_first_token_ms": "100-300", | |
| "optimal_batch_size": "1-32", | |
| "memory_requirement_gb": 140 | |
| } | |
| }, | |
| "technical_details": { | |
| "precision": "bfloat16", | |
| "weight_format": "safetensors", | |
| "total_shards": 96, | |
| "shard_size_avg_gb": 1.46, | |
| "total_size_gb": 140, | |
| "quantization": "none", | |
| "optimization": [ | |
| "Flash Attention 2", | |
| "Grouped Query Attention", | |
| "Tensor Parallelism", | |
| "Pipeline Parallelism" | |
| ] | |
| }, | |
| "training": { | |
| "steps": 150000, | |
| "warmup_steps": 2000, | |
| "learning_rate": 2e-05, | |
| "optimizer": "AdamW", | |
| "scheduler": "cosine_with_restarts", | |
| "precision": "bfloat16", | |
| "gradient_accumulation": 8, | |
| "batch_size": 4, | |
| "parallelization": { | |
| "tensor_parallel": 4, | |
| "pipeline_parallel": 2 | |
| } | |
| }, | |
| "hardware_requirements": { | |
| "minimum": { | |
| "gpus": "2x NVIDIA A100 80GB", | |
| "vram_gb": 160, | |
| "ram_gb": 256, | |
| "storage_gb": 500, | |
| "network": "10Gbps" | |
| }, | |
| "recommended": { | |
| "gpus": "4x NVIDIA H100 80GB", | |
| "vram_gb": 320, | |
| "ram_gb": 512, | |
| "storage_gb": 1000, | |
| "network": "100Gbps InfiniBand" | |
| } | |
| }, | |
| "usage": { | |
| "intended_uses": [ | |
| "Research and development", | |
| "Advanced reasoning tasks", | |
| "Code generation and analysis", | |
| "Mathematical problem solving", | |
| "Multilingual applications", | |
| "Long document understanding", | |
| "Creative writing", | |
| "Educational purposes" | |
| ], | |
| "not_recommended": [ | |
| "Production without validation", | |
| "Critical decision-making without oversight", | |
| "Medical diagnosis", | |
| "Legal advice", | |
| "Financial advice", | |
| "Safety-critical systems" | |
| ] | |
| }, | |
| "limitations": [ | |
| "Research model - requires validation", | |
| "May exhibit training data biases", | |
| "Can generate incorrect information", | |
| "Performance varies by domain", | |
| "Context degradation beyond 64K tokens", | |
| "Requires significant compute resources" | |
| ], | |
| "ethical_considerations": { | |
| "bias_mitigation": "Ongoing evaluation and monitoring", | |
| "safety_features": [ | |
| "Content filtering", | |
| "PII detection", | |
| "Toxicity monitoring", | |
| "Prompt injection protection" | |
| ], | |
| "responsible_use": [ | |
| "Verify outputs for critical applications", | |
| "Monitor for bias", | |
| "Implement content filtering", | |
| "Respect privacy and data protection" | |
| ] | |
| }, | |
| "license": { | |
| "type": "Apache-2.0", | |
| "url": "https://www.apache.org/licenses/LICENSE-2.0", | |
| "commercial_use": true, | |
| "modification": true, | |
| "distribution": true, | |
| "patent_use": true, | |
| "private_use": true | |
| }, | |
| "files": { | |
| "safetensors": { | |
| "format": "safetensors", | |
| "num_shards": 96, | |
| "pattern": "model-{:05d}-of-00096.safetensors", | |
| "index_file": "model.safetensors.index.json", | |
| "checksums_available": true | |
| }, | |
| "config": [ | |
| "config.json", | |
| "generation_config.json", | |
| "tokenizer_config.json", | |
| "model_config.yaml" | |
| ], | |
| "inference": [ | |
| "inference/server.py", | |
| "inference/client.py", | |
| "inference/utils.py", | |
| "inference/security.py", | |
| "inference/evaluate.py", | |
| "inference/batch_inference.py", | |
| "inference/optimizer.py", | |
| "inference/benchmark.py" | |
| ] | |
| }, | |
| "links": { | |
| "repository": "https://huggingface.co/DeepXR/Helion-2.5-Rnd", | |
| "organization": "https://deepxr.ai", | |
| "documentation": "https://docs.deepxr.ai/helion", | |
| "paper": null, | |
| "demo": null | |
| }, | |
| "contact": { | |
| "email": "[email protected]", | |
| "research_email": "[email protected]", | |
| "security_email": "[email protected]", | |
| "website": "https://deepxr.ai" | |
| }, | |
| "citation": { | |
| "format": "bibtex", | |
| "text": "@misc{helion-2.5-rnd-2025,\n title={Helion-2.5-Rnd: Advanced Research Language Model},\n author={DeepXR Research Team},\n year={2025},\n publisher={DeepXR},\n url={https://huggingface.co/DeepXR/Helion-2.5-Rnd}\n}" | |
| }, | |
| "changelog": [ | |
| { | |
| "version": "2.5.0-rnd", | |
| "date": "2025-01-30", | |
| "changes": [ | |
| "Initial research release", | |
| "70B parameter model", | |
| "131K context window with YARN", | |
| "SafeTensors format (96 shards)", | |
| "Comprehensive inference suite", | |
| "Security implementation", | |
| "Optimization tools" | |
| ] | |
| } | |
| ] | |
| } |