Autotrain compatible Base model:merge:notailol/math... Base model:merge:notailol/med-... Base model:merge:notailol/yi-1... Base model:merge:notailol/yi-1... Base model:notailol/math-yi-1.... Base model:notailol/med-yi-1.5... Base model:notailol/yi-1.5-9b-... Base model:notailol/yi-1.5-dol... Endpoints compatible Merge Mergekit Mixtral Moe Notailol/math-yi-1.5-9b Notailol/med-yi-1.5-9b Notailol/yi-1.5-9b-coder Notailol/yi-1.5-dolphin-9b Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/NotAiLOL/Eclipse-Yi-1.5-4x9b
Eclipse Yi 1.5 4x9b 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)
Eclipse Yi 1.5 4x9b Parameters and Internals
| LLM Name | Eclipse Yi 1.5 4x9b |
| Repository 🤗 | https://huggingface.co/NotAiLOL/Eclipse-Yi-1.5-4x9b |
| Base Model(s) | |
| Model Size | 28.3b |
| Required VRAM | 56.8 GB |
| Updated | 2024-08-10 |
| Maintainer | NotAiLOL |
| Model Type | mixtral |
| Model Files | |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|startoftext|> |
| Vocabulary Size | 64000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Eclipse Yi 1.5 4x9b
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...9B Chat Instruct TIES MoE V1.0 | 128K / 56.8 GB | 7 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than NotAiLOL/Eclipse-Yi-1.5-4x9b .
Rank the Eclipse Yi 1.5 4x9b 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? 43470 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227