4-bit Augmentation Autotrain compatible Base model:vagosolutions/sauer... Conversational Dataset:argilla/distilabel-mat... De Dpo En Es Finetuned Fr German Gptq Instruct It License:apache-2.0 Mistral Mixtral Moe Quantized Region:us Safetensors
SauerkrautLM Mixtral 8x7B Instruct GPTQ Benchmarks
HF Avg Score: 63.8 vs 86.1 (GPT-4) -25.9%
ARC: 62.1-35.5%
HellaSwag: 73.7-22.7%
MMLU: 62.6-27.6%
TruthfulQA: 63.16.9%
WinoGrande: 79.8-8.8%
GSM8K: 43.1-53.2%
nn.n% — How the model compares to the GPT-4.
Rank the SauerkrautLM Mixtral 8x7B Instruct GPTQ 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! 🌟
Best Alternatives to SauerkrautLM Mixtral 8x7B Instruct GPTQ
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| ...xtral Instruct 8x7b Zloss GPTQ | 64.2 | 32K / 23.8 GB | 27 | 2 |
| ...ixtral 8x7B Instruct V0.1 GPTQ | 63.7 | 32K / 23.8 GB | 694568 | 127 |
| ...ixtral 8x7B V0.1 Dolly15K GPTQ | 63.5 | 32K / 23.8 GB | 6 | 2 |
| Dolphin 2.5 Mixtral 8x7b GPTQ | — | 32K / 23.8 GB | 194 | 91 |
| Dolphin 2.7 Mixtral 8x7b GPTQ | — | 32K / 23.8 GB | 348 | 18 |
| Dolphin 2.6 Mixtral 8x7b GPTQ | — | 32K / 23.8 GB | 12 | 6 |
| ....1 LimaRP ZLoss DARE TIES GPTQ | — | 32K / 23.8 GB | 7 | 6 |
| ...nstruct V0.1 LimaRP ZLoss GPTQ | — | 32K / 23.8 GB | 6 | 3 |
| ... Mixtral 8x7b Instruct V3 GPTQ | — | 32K / 23.8 GB | 18 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/SauerkrautLM-Mixtral-8x7B-Instruct-GPTQ .
SauerkrautLM Mixtral 8x7B Instruct GPTQ Parameters and Internals
| LLM Name | SauerkrautLM Mixtral 8x7B Instruct GPTQ |
| Repository | Open on 🤗 |
| Model Name | SauerkrautLM Mixtral 8X7B Instruct |
| Model Creator | VAGO solutions |
| Base Model(s) | |
| Model Size | 6.1b |
| Required VRAM | 23.8 GB |
| Updated | 2024-07-01 |
| Maintainer | TheBloke |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en de fr it es |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Initializer Range | 0.02 |
| Torch Data Type | bfloat16 |
What open-source LLMs or SLMs are you in search of? 34238 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801