EGTLM Qwen1.5 1.8B Instruct 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)
EGTLM Qwen1.5 1.8B Instruct Parameters and Internals
| LLM Name | EGTLM Qwen1.5 1.8B Instruct |
| Repository 🤗 | https://huggingface.co/selmisskilig/EGTLM-Qwen1.5-1.8B-instruct |
| Model Size | 1.8b |
| Required VRAM | 3.7 GB |
| Updated | 2024-09-07 |
| Maintainer | selmisskilig |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to EGTLM Qwen1.5 1.8B Instruct
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Likes |
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| Orca 2.0 Tau 1.8B | 32K / 3.7 GB | 260 | 8 |
| Neural Chat Mini V2.2 1.8B | 32K / 3.7 GB | 54 | 5 |
| Sailor 1.8B Chat | 32K / 3.7 GB | 722 | 4 |
| Nusantara 1.8B Indo Chat | 8K / 3.7 GB | 69 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than selmisskilig/EGTLM-Qwen1.5-1.8B-instruct .
Rank the EGTLM Qwen1.5 1.8B Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803