Merged Model Arxiv:1910.09700 Adapter Base model:mistralai/mixtral-8... Dataset:qblocks/monsterinstruc... Finetuned License:apache-2.0 Lora Moe Peft Region:us Safetensors
Mixtral 8x7b MonsterInstruct Benchmarks
HF Avg Score: 66.34 vs 86.1 (GPT-4) -23%
ARC: 65.19-32.3%
HellaSwag: 85.81-10%
MMLU: 70.15-18.9%
TruthfulQA: 48.47-17.8%
WinoGrande: 80.27-8.3%
GSM8K: 48.14-47.7%
nn.n% — How the model compares to the GPT-4.
Rank the Mixtral 8x7b MonsterInstruct Capabilities
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Best Alternatives to Mixtral 8x7b MonsterInstruct
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| Trrapi 16 | 70.85 | 0K / 0 GB | 1 | 1 |
| Mixtral 8x7B Instruct V0.1 | 68.87 | 0K / 0.1 GB | 11 | 9 |
| Alpaca13B Lora | — | 0K / 0 GB | 0 | 33 |
| Dolly Lora | — | 0K / 0 GB | 0 | 25 |
| Aurora | — | 0K / 0 GB | 0 | 20 |
| Gpt4all J Lora | — | 0K / 0 GB | 0 | 18 |
| Alpaca | — | 0K / 0 GB | 0 | 14 |
| WizardLM LlaMA LoRA 13 | — | 0K / 0 GB | 0 | 13 |
| Alpaca7B Lora | — | 0K / 0 GB | 0 | 8 |
| Alpaca Lora German | — | 0K / 0 GB | 0 | 8 |
Note: green Score (e.g. "73.2") means that the model is better than Zangs3011/mixtral_8x7b_MonsterInstruct .
Mixtral 8x7b MonsterInstruct Parameters and Internals
| LLM Name | Mixtral 8x7b MonsterInstruct |
| Repository | Open on 🤗 |
| Base Model(s) | |
| Merged Model | Yes |
| Required VRAM | 1 GB |
| Updated | 2024-06-24 |
| Maintainer | Zangs3011 |
| Model Files | |
| Model Architecture | Adapter |
| License | apache-2.0 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | w3|o_proj|w1|w2|q_proj|k_proj|v_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0 |
| R Param | 16 |
What open-source LLMs or SLMs are you in search of? 34902 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801