Update README.md

README.md

@@ -1,40 +1,30 @@
 ---
-title: Multi Llm
-emoji: 🌍
-colorFrom: green
-colorTo: yellow
+title: Optillm
+emoji: 💬
+colorFrom: yellow
+colorTo: purple
 sdk: gradio
-sdk_version: 5.28.0
+sdk_version: 5.6.0
 app_file: app.py
 pinned: false
-license: mit
-short_description: NO GPU, Multi LLMs Uses
-models:
-  - Qwen/Qwen2.5-72B-Instruct
-  - Qwen/Qwen2.5-3B-Instruct
-  - Qwen/Qwen2.5-0.5B-Instruct
-  - Qwen/Qwen2.5-Coder-32B-Instruct  
-  - meta-llama/Llama-3.3-70B-Instruct
-  - meta-llama/Llama-3.1-70B-Instruct
-  - meta-llama/Llama-3.0-70B-Instruct
-  - meta-llama/Llama-3.2-3B-Instruct 
-  - meta-llama/Llama-3.2-1B-Instruct
-  - meta-llama/Llama-3.1-8B-Instruct
-  - mistralai/Mistral-Nemo-Instruct-2407
-  - mistralai/Mixtral-8x7B-Instruct-v0.1
-  - mistralai/Mistral-7B-Instruct-v0.3
-  - mistralai/Mistral-7B-Instruct-v0.2
-  - microsoft/Phi-3.5-mini-instruct
-  - microsoft/Phi-3-mini-128k-instruct 
-  - microsoft/Phi-3-mini-4k-instruct
-  - NousResearch/Hermes-3-Llama-3.1-8B
-  - NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO
-  - deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
-  - deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
-  - HuggingFaceH4/zephyr-7b-beta
-  - HuggingFaceTB/SmolLM2-360M-Instruct
-  - tiiuae/falcon-7b-instruct
-  - 01-ai/Yi-1.5-34B-Chat 
+license: apache-2.0
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+## References
+
+- [Chain of Code: Reasoning with a Language Model-Augmented Code Emulator](https://arxiv.org/abs/2312.04474) - [Implementation](https://github.com/codelion/optillm/blob/main/optillm/plugins/coc_plugin.py)
+- [Entropy Based Sampling and Parallel CoT Decoding](https://github.com/xjdr-alt/entropix) - [Implementation](https://github.com/codelion/optillm/blob/main/optillm/entropy_decoding.py)
+- [Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation](https://arxiv.org/abs/2409.12941) - [Evaluation script](https://github.com/codelion/optillm/blob/main/scripts/eval_frames_benchmark.py)
+- [Writing in the Margins: Better Inference Pattern for Long Context Retrieval](https://www.arxiv.org/abs/2408.14906) - [Inspired the implementation of the memory plugin](https://github.com/codelion/optillm/blob/main/optillm/plugins/memory_plugin.py)
+- [Chain-of-Thought Reasoning Without Prompting](https://arxiv.org/abs/2402.10200) - [Implementation](https://github.com/codelion/optillm/blob/main/optillm/cot_decoding.py)
+- [Re-Reading Improves Reasoning in Large Language Models](https://arxiv.org/abs/2309.06275) - [Implementation](https://github.com/codelion/optillm/blob/main/optillm/reread.py)
+- [In-Context Principle Learning from Mistakes](https://arxiv.org/abs/2402.05403) - [Implementation](https://github.com/codelion/optillm/blob/main/optillm/leap.py)
+- [Planning In Natural Language Improves LLM Search For Code Generation](https://arxiv.org/abs/2409.03733) - [Implementation](https://github.com/codelion/optillm/blob/main/optillm/plansearch.py)
+- [Self-Consistency Improves Chain of Thought Reasoning in Language Models](https://arxiv.org/abs/2203.11171) - [Implementation](https://github.com/codelion/optillm/blob/main/optillm/self_consistency.py)
+- [Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers](https://arxiv.org/abs/2408.06195) - [Implementation](https://github.com/codelion/optillm/blob/main/optillm/rstar.py)
+- [Mixture-of-Agents Enhances Large Language Model Capabilities](https://arxiv.org/abs/2406.04692) - [Inspired the implementation of moa](https://github.com/codelion/optillm/blob/main/optillm/moa.py)
+- [Prover-Verifier Games improve legibility of LLM outputs](https://arxiv.org/abs/2407.13692) - [Implementation](https://github.com/codelion/optillm/blob/main/optillm/pvg.py)
+- [Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning](https://arxiv.org/abs/2405.00451) - [Inspired the implementation of mcts](https://github.com/codelion/optillm/blob/main/optillm/mcts.py)
+- [Unsupervised Evaluation of Code LLMs with Round-Trip Correctness](https://arxiv.org/abs/2402.08699) - [Inspired the implementation of rto](https://github.com/codelion/optillm/blob/main/optillm/rto.py)
+- [Patched MOA: optimizing inference for diverse software development tasks](https://arxiv.org/abs/2407.18521) - [Implementation](https://github.com/codelion/optillm/blob/main/optillm/moa.py)
+- [Patched RTC: evaluating LLMs for diverse software development tasks](https://arxiv.org/abs/2407.16557) - [Implementation](https://github.com/codelion/optillm/blob/main/optillm/rto.py)