Model Card on HF 🤗: https://huggingface.co/geniacllm/dMoE_8B_pretrain_0520_iter134999
DMoE 8B Pretrain 0520 Iter134999 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)
DMoE 8B Pretrain 0520 Iter134999 Parameters and Internals
| LLM Name | DMoE 8B Pretrain 0520 Iter134999 |
| Repository 🤗 | https://huggingface.co/geniacllm/dMoE_8B_pretrain_0520_iter134999 |
| Model Size | 8b |
| Required VRAM | 18 GB |
| Updated | 2024-08-15 |
| Maintainer | geniacllm |
| Model Type | mixtral |
| Model Files | |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.41.0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 56320 |
| Torch Data Type | bfloat16 |
Best Alternatives to DMoE 8B Pretrain 0520 Iter134999
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Lamma3merge3 15B MoE | 8K / 27.5 GB | 11 | 1 |
| Lamma3merge2 15B MoE | 8K / 27.5 GB | 10 | 0 |
| Llama3merge7 15B MoE | 8K / 27.5 GB | 7 | 0 |
| Mergkit 1 | 8K / 22.6 GB | 8 | 0 |
| Llama 3 8B Shisa 2x8B | 8K / 7.4 GB | 22 | 2 |
| Llama3merge8 15B MoE | 8K / 27.5 GB | 9 | 0 |
| Llama3merge6 15B MoE | 8K / 27.5 GB | 7 | 0 |
| ...8B Finetune All V6 Epoch2 V0.1 | 2K / 18 GB | 12 | 1 |
| ...Storm V1.15 4x8B B 8 0bpw EXL2 | 8K / 25.2 GB | 7 | 0 |
| ... SnowStorm 4x8B 6.5bpw H8 EXL2 | 8K / 21 GB | 16 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than geniacllm/dMoE_8B_pretrain_0520_iter134999 .
Rank the DMoE 8B Pretrain 0520 Iter134999 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227