Autotrain compatible Conversational Endpoints compatible Pytorch Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/airev-ai/Jais-Inception-70b-V1.1
Jais Inception 70B V1.1 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)
Jais Inception 70B V1.1 Parameters and Internals
| LLM Name | Jais Inception 70B V1.1 |
| Repository 🤗 | https://huggingface.co/airev-ai/Jais-Inception-70b-V1.1 |
| Model Size | 70b |
| Required VRAM | 146 GB |
| Updated | 2024-09-27 |
| Maintainer | airev-ai |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Jais Inception 70B V1.1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Distill Qwen 1.5B Multilingual | 128K / 3.5 GB | 12 | 24 |
| Jais Inception 70B V1.2 | 128K / 80.1 GB | 2203 | 2 |
| T1 1.5B | 32K / 3.6 GB | 9 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than airev-ai/Jais-Inception-70b-V1.1 .
Rank the Jais Inception 70B V1.1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124