Arxiv:1910.09700 Autotrain compatible Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/pxyyy/rlhflow_mixture_clean_empty_round_with_dart_scalebiosampled-600k
Rlhflow Mixture Clean Empty Round With Dart Scalebiosampled 600K 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)
Rlhflow Mixture Clean Empty Round With Dart Scalebiosampled 600K Parameters and Internals
| LLM Name | Rlhflow Mixture Clean Empty Round With Dart Scalebiosampled 600K |
| Repository 🤗 | https://huggingface.co/pxyyy/rlhflow_mixture_clean_empty_round_with_dart_scalebiosampled-600k |
| Model Size | 8b |
| Required VRAM | 16.1 GB |
| Updated | 2025-03-22 |
| Maintainer | pxyyy |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.44.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|end_of_text|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to Rlhflow Mixture Clean Empty Round With Dart Scalebiosampled 600K
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...a 3 8B Instruct Gradient 1048K | 1024K / 16.1 GB | 5116 | 682 |
| A18 | 1024K / 16.1 GB | 272 | 0 |
| A12 | 1024K / 16.1 GB | 256 | 0 |
| C31 | 1024K / 16.1 GB | 183 | 0 |
| B5 | 1024K / 16.1 GB | 147 | 0 |
| A15 | 1024K / 16.1 GB | 160 | 0 |
| A5 | 1024K / 16.1 GB | 150 | 0 |
| A13 | 1024K / 16.1 GB | 236 | 0 |
| C35 | 1024K / 16.1 GB | 236 | 0 |
| A8 | 1024K / 16.1 GB | 172 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than pxyyy/rlhflow_mixture_clean_empty_round_with_dart_scalebiosampled-600k .
Rank the Rlhflow Mixture Clean Empty Round With Dart Scalebiosampled 600K Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227