4-bit Autotrain compatible Awq Base model:neversleep/noromaid... Base model:quantized:neverslee... Conversational Instruct Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss-AWQ
Noromaid V0.4 Mixtral Instruct 8x7b Zloss 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)
Noromaid V0.4 Mixtral Instruct 8x7b Zloss AWQ Parameters and Internals
| LLM Name | Noromaid V0.4 Mixtral Instruct 8x7b Zloss AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss-AWQ |
| Model Name | Noromaid V0.4 Mixtral Instruct 8X7B ZLoss |
| Model Creator | NeverSleep |
| Base Model(s) | |
| Model Size | 6.5b |
| Required VRAM | 24.7 GB |
| Updated | 2025-03-12 |
| Maintainer | TheBloke |
| Model Type | mixtral |
| Instruction-Based | Yes |
| 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 |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Noromaid V0.4 Mixtral Instruct 8x7b Zloss AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Dolphin 2.7 Mixtral 8x7b AWQ | 32K / 24.7 GB | 35151 | 22 |
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 7 | 0 |
| Mixtral Instruct AWQ | 32K / 24.7 GB | 3261 | 43 |
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 1881 | 57 |
| ...xtral Instruct AWQ Clone Dec23 | 32K / 24.7 GB | 13 | 0 |
| Mixtral 8x7B Instruct V0.1 AWQ | 32K / 24.7 GB | 351 | 15 |
| ...0.1 LimaRP ZLoss DARE TIES AWQ | 32K / 24.7 GB | 14 | 3 |
| ...utLM Mixtral 8x7B Instruct AWQ | 32K / 24.7 GB | 140 | 2 |
| ...Instruct V0.1 LimaRP ZLoss AWQ | 32K / 24.7 GB | 14 | 1 |
| Dolphin 2.5 Mixtral 8x7b AWQ | 32K / 24.7 GB | 61 | 6 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss-AWQ .
Rank the Noromaid V0.4 Mixtral Instruct 8x7b Zloss AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227