WhiteRabbitNeo 13B V1 4bit Mlx 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)
WhiteRabbitNeo 13B V1 4bit Mlx Parameters and Internals
| LLM Name | WhiteRabbitNeo 13B V1 4bit Mlx |
| Repository 🤗 | https://huggingface.co/mlx-community/WhiteRabbitNeo-13B-v1-4bit-mlx |
| Model Size | 13b |
| Required VRAM | 7.8 GB |
| Updated | 2024-09-16 |
| Maintainer | mlx-community |
| Model Type | llama |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | LlamaForCausalLM |
| License | llama2 |
| Context Length | 16384 |
| Model Max Length | 16384 |
| Transformers Version | 4.36.2 |
| Padding Token | </s> |
| Vocabulary Size | 32016 |
| Torch Data Type | bfloat16 |
Best Alternatives to WhiteRabbitNeo 13B V1 4bit Mlx
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Maid V3 13B 32K 6.0bpw H6 EXL2 | 32K / 10 GB | 6 | 1 |
| ...Maid V3 13B 32K 8.0bpw H8 EXL2 | 32K / 13.2 GB | 4 | 1 |
| WhiteRabbitNeo 13B V1 | 16K / 26 GB | 1441 | 380 |
| CodeLlama 13B Python Fp16 | 16K / 26 GB | 1437 | 25 |
| CodeLlama 13B Instruct Fp16 | 16K / 26 GB | 1441 | 29 |
| Codellama 13B Bnb 4bit | 16K / 7.2 GB | 72 | 1 |
| ...Llama 13B Instruct Hf 4bit MLX | 16K / 7.8 GB | 8 | 2 |
| CodeLlama 13B Fp16 | 16K / 26 GB | 14 | 66 |
| Trinity 13B | 16K / 26 GB | 6 | 15 |
| ...13B Instruct Nf4 Fp16 Upscaled | 16K / 26 GB | 322 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/WhiteRabbitNeo-13B-v1-4bit-mlx .
Rank the WhiteRabbitNeo 13B V1 4bit Mlx Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803