Arxiv:2507.10524 Adaptive-computation Autotrain compatible Base model:finetune:microsoft/... Base model:microsoft/dialogpt-... Custom code Dataset:huggingfacetb/smollm-c... Early-exiting Efficient-inference En Language-model Llama Mixture-of-recursions Mor llama Pytorch Region:us
Model Card on HF 🤗: https://huggingface.co/sudeshmu/fine_tune
Fine Tune 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)
Fine Tune Parameters and Internals
| LLM Name | Fine Tune |
| Repository 🤗 | https://huggingface.co/sudeshmu/fine_tune |
| Base Model(s) | |
| Required VRAM | 0.5 GB |
| Updated | 2025-08-29 |
| Maintainer | sudeshmu |
| Model Type | mor_llama |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MoRLlamaForCausalLM |
| License | mit |
| Context Length | 1024 |
| Model Max Length | 1024 |
| Transformers Version | 4.50.0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 49152 |
| Torch Data Type | bfloat16 |
Rank the Fine Tune Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124