Training Details |
|
LLM Name | Mistral 8x7b Instruct V0.1 Phase2 |
Repository ๐ค | https://huggingface.co/ledat1205/mistral-8x7b-instruct-v0.1-phase2 |
Base Model(s) | |
Required VRAM | 0.5 GB |
Updated | 2024-11-17 |
Maintainer | ledat1205 |
Instruction-Based | Yes |
Model Files | |
Model Architecture | Adapter |
License | apache-2.0 |
Is Biased | none |
Tokenizer Class | LlamaTokenizer |
Padding Token | ! |
PEFT Type | LORA |
LoRA Model | Yes |
PEFT Target Modules | o_proj|w1|v_proj|w2|q_proj|k_proj|w3 |
LoRA Alpha | 16 |
LoRA Dropout | 0.1 |
R Param | 8 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
Phi 3 Mini 4K Instruct Sa V0.1 | 0K / 0 GB | 8 | 0 |
...mall Physics Finetuned Adapter | 0K / 0.1 GB | 8 | 1 |
Mistral Small Fujin Qlora | 0K / 0.8 GB | 47 | 2 |
Mistral Small Dampf Qlora | 0K / 0.8 GB | 19 | 0 |
Test | 0K / 0 GB | 5 | 0 |
Vfgf | 0K / 0 GB | 6 | 0 |
Results | 0K / 0 GB | 6 | 0 |
Results Phi3 Medium 4k | 0K / 0.1 GB | 5 | 0 |
Results | 0K / 0.1 GB | 6 | 0 |
Phi3AdapterModel | 0K / 0.1 GB | 12 | 0 |
๐ 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! ๐