Instruct Igel 001 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)
Instruct Igel 001 Parameters and Internals
| LLM Name | Instruct Igel 001 |
| Repository 🤗 | https://huggingface.co/philschmid/instruct-igel-001 |
| Required VRAM | 12.9 GB |
| Updated | 2024-09-07 |
| Maintainer | philschmid |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | de |
| Model Architecture | AutoModelForCausalLM |
| License | bigscience-openrail-m |
| Is Biased | none |
| Tokenizer Class | GPT2Tokenizer |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | query_key_value |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 8 |
Best Alternatives to Instruct Igel 001
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... Mini 4K Instruct Chinese Lora | 0K / 0 GB | 92 | 6 |
| Falcon Camel Math Instruct | 0K / 0 GB | 5 | 1 |
| ...emo Instruct 2407 EXL2 8bpw H8 | 0K / 12.6 GB | 45 | 6 |
| Dre Phi | 0K / 7.6 GB | 5 | 0 |
| Phi 3 Mini 4K CodeInstruct | 0K / 7.6 GB | 5 | 0 |
| ...3 Mini 4K Instruct Text To Sql | 0K / 7.6 GB | 16 | 0 |
| Phi 3 Mini 4K Python | 0K / 7.6 GB | 135 | 0 |
| Pipi | 0K / 2.4 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than philschmid/instruct-igel-001 .
Rank the Instruct Igel 001 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? 35693 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803