4-bit Autotrain compatible Awq Base model:maywell/pivot-moe Base model:quantized:maywell/p... Conversational Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/PiVoT-MoE-AWQ
PiVoT MoE AWQ 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)
PiVoT MoE AWQ Parameters and Internals
| Model Type |
| |||
| Input Output |
|
| LLM Name | PiVoT MoE AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/PiVoT-MoE-AWQ |
| Model Name | Pivot MoE |
| Model Creator | Jeonghwan Park |
| Base Model(s) | |
| Model Size | 5.1b |
| Required VRAM | 19.2 GB |
| Updated | 2025-09-23 |
| Maintainer | TheBloke |
| Model Type | mixtral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| 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 |
| Padding Token | <s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to PiVoT MoE AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SOLARC MoE 10.7Bx4 AWQ | 4K / 19.2 GB | 8 | 2 |
| Minerva MoE 2x3B | 16K / 10.2 GB | 1960 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/PiVoT-MoE-AWQ .
Rank the PiVoT MoE AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124