Merged Model Autotrain compatible Conversational Endpoints compatible Fp16 Llama Lora Quantized Region:us Ru Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/Vikhrmodels/it-5.4-fp16-orpo-v2
It 5.4 Fp16 Orpo V2 Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
It 5.4 Fp16 Orpo V2 Parameters and Internals
| LLM Name | It 5.4 Fp16 Orpo V2 |
| Repository 🤗 | https://huggingface.co/Vikhrmodels/it-5.4-fp16-orpo-v2 |
| Merged Model | Yes |
| Model Size | 7.6b |
| Required VRAM | 15.2 GB |
| Updated | 2025-01-20 |
| Maintainer | Vikhrmodels |
| Model Type | llama |
| Model Files | |
| Supported Languages | ru |
| Quantization Type | fp16 |
| Model Architecture | LlamaForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.40.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 79100 |
| LoRA Model | Yes |
| Torch Data Type | float16 |
Best Alternatives to It 5.4 Fp16 Orpo V2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| It 5.2 Fp16 Cp | 32K / 15.2 GB | 5563 | 7 |
| It 5.3 Fp16 32K | 32K / 15.2 GB | 20 | 10 |
| It 5.3 Fp16 | 32K / 15.2 GB | 0 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Vikhrmodels/it-5.4-fp16-orpo-v2 .
Rank the It 5.4 Fp16 Orpo V2 Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 41636 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227