Autotrain compatible Conversational Endpoints compatible Exl2 Instruct Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow
Noromaid V0.4 Mixtral Instruct 8x7b Zloss Bpw350 H6 EXL2 Rpcal 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)
Noromaid V0.4 Mixtral Instruct 8x7b Zloss Bpw350 H6 EXL2 Rpcal Parameters and Internals
| LLM Name | Noromaid V0.4 Mixtral Instruct 8x7b Zloss Bpw350 H6 EXL2 Rpcal |
| Repository 🤗 | https://huggingface.co/zaq-hack/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss-bpw350-h6-exl2-rpcal |
| Required VRAM | 20.7 GB |
| Updated | 2024-09-16 |
| 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 Bpw350 H6 EXL2 Rpcal
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...M 2 8x22B Beige 5.0bpw H6 EXL2 | 64K / 88.5 GB | 8 | 0 |
| ...M 2 8x22B Beige 2.4bpw H6 EXL2 | 64K / 42.7 GB | 6 | 0 |
| ...M 2 8x22B Beige 3.0bpw H6 EXL2 | 64K / 53.2 GB | 5 | 0 |
| ...M 2 8x22B Beige 4.0bpw H6 EXL2 | 64K / 70.8 GB | 5 | 0 |
| ...B Instruct V0.1 8.0bpw H8 EXL2 | 64K / 120.2 GB | 1 | 1 |
| ...8x22b Instruct Oh EXL2 2.25bpw | 64K / 40.1 GB | 1 | 1 |
| ...eryTour V2 8x7B 4.5bpw H6 EXL2 | 32K / 26.5 GB | 12 | 2 |
| ...hin 2.7 Mixtral 8x7b 8bpw EXL2 | 32K / 46.8 GB | 57 | 2 |
| ...it MoE 2bitgs8 Metaoffload HQQ | 32K / 24.1 GB | 4 | 20 |
| ... 4bit MoE 3bit Metaoffload HQQ | 32K / 22.4 GB | 3 | 13 |
Note: green Score (e.g. "73.2") means that the model is better than zaq-hack/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss-bpw350-h6-exl2-rpcal .
Rank the Noromaid V0.4 Mixtral Instruct 8x7b Zloss Bpw350 H6 EXL2 Rpcal Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 35941 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803