Autotrain compatible Base model:finetune:outeai/lit... Base model:outeai/lite-mistral... Conversational En Endpoints compatible Instruct Mistral Pytorch Region:us Sft Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/mahiatlinux/Sigmer-150M
Sigmer 150M 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)
Sigmer 150M Parameters and Internals
| LLM Name | Sigmer 150M |
| Repository 🤗 | https://huggingface.co/mahiatlinux/Sigmer-150M |
| Base Model(s) | |
| Model Size | 150m |
| Required VRAM | 0.3 GB |
| Updated | 2024-08-22 |
| Maintainer | mahiatlinux |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.43.3 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32768 |
| Torch Data Type | float16 |
Best Alternatives to Sigmer 150M
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 150M Instruct | 32K / 0.7 GB | 27 | 0 |
| Lite Mistral 150M V2 Instruct | 2K / 0.6 GB | 116 | 43 |
| BabyHercules 150M | 2K / 0.3 GB | 24 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than mahiatlinux/Sigmer-150M .
Rank the Sigmer 150M 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? 51544 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124