Autotrain compatible Conversational En Endpoints compatible Instruct Ja Llama Region:us Safetensors Sharded Tensorflow
Llm Jp 3 3.7B Instruct EZO Humanities 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)
Llm Jp 3 3.7B Instruct EZO Humanities Parameters and Internals
| LLM Name | Llm Jp 3 3.7B Instruct EZO Humanities |
| Repository 🤗 | https://huggingface.co/AXCXEPT/llm-jp-3-3.7b-instruct-EZO-Humanities |
| Model Size | 3.7b |
| Required VRAM | 7.6 GB |
| Updated | 2024-10-07 |
| Maintainer | AXCXEPT |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en ja |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.45.1 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <PAD|LLM-jp> |
| Vocabulary Size | 99584 |
| Torch Data Type | bfloat16 |
Best Alternatives to Llm Jp 3 3.7B Instruct EZO Humanities
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llm Jp 3 3.7B Instruct | 4K / 7.6 GB | 867 | 3 |
| Llm Jp 3 3.7B Instruct | 4K / 7.6 GB | 17 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than AXCXEPT/llm-jp-3-3.7b-instruct-EZO-Humanities .
Rank the Llm Jp 3 3.7B Instruct EZO Humanities Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803