Autotrain compatible Conversational Endpoints compatible Exl2 Instruct Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow
Noromaid V0.4 Mixtral Instruct 8x7b Zloss Bpw364 H6 EXL2 Parameters and Internals
| LLM Name | Noromaid V0.4 Mixtral Instruct 8x7b Zloss Bpw364 H6 EXL2 |
| Repository | Open on 🤗 |
| Required VRAM | 21.6 GB |
| Updated | 2024-07-27 |
| Maintainer | zaq-hack |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| Quantization Type | exl2 |
| Model Architecture | MixtralForCausalLM |
| License | cc-by-nc-4.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Noromaid V0.4 Mixtral Instruct 8x7b Zloss Bpw364 H6 EXL2
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| ...M 2 8x22B Beige 4.0bpw H6 EXL2 | 0.2 | 64K / 70.8 GB | 16 | 0 |
| ...B Instruct V0.1 8.0bpw H8 EXL2 | 0.2 | 64K / 120.2 GB | 14 | 1 |
| ...M 2 8x22B Beige 2.4bpw H6 EXL2 | 0.2 | 64K / 42.7 GB | 10 | 0 |
| ...M 2 8x22B Beige 5.0bpw H6 EXL2 | 0.2 | 64K / 88.5 GB | 10 | 0 |
| ...M 2 8x22B Beige 3.0bpw H6 EXL2 | 0.2 | 64K / 53.2 GB | 6 | 0 |
| ...8x22b Instruct Oh EXL2 2.25bpw | 0.2 | 64K / 40.1 GB | 9 | 1 |
| ...eryTour V2 8x7B 4.5bpw H6 EXL2 | 0.2 | 32K / 26.5 GB | 28 | 2 |
| ...it MoE 2bitgs8 Metaoffload HQQ | 0.2 | 32K / 24.1 GB | 28 | 20 |
| ... 4bit MoE 3bit Metaoffload HQQ | 0.2 | 32K / 22.4 GB | 8 | 13 |
| ... 4bit MoE 2bit Metaoffload HQQ | 0.2 | 32K / 18.3 GB | 18 | 15 |
Note: green Score (e.g. "73.2") means that the model is better than zaq-hack/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss-bpw364-h6-exl2 .
Rank the Noromaid V0.4 Mixtral Instruct 8x7b Zloss Bpw364 H6 EXL2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501