Arxiv:1910.09700 Adapter Base model:adapter:meta-llama/... Base model:meta-llama/meta-lla... Code-generation Conversational En Finetuned Instruct Lora Peft Region:us Safetensors Text-to-text-generation
Llama3v1 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)
Llama3v1 Parameters and Internals
| LLM Name | Llama3v1 |
| Repository 🤗 | https://huggingface.co/aryansiddiqui/llama3v1 |
| Base Model(s) | |
| Model Size | 70b |
| Required VRAM | 0.1 GB |
| Updated | 2024-08-15 |
| Maintainer | aryansiddiqui |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Adapter |
| Is Biased | none |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|end_of_text|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | o_proj|q_proj|k_proj|v_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 8 |
Quantized Models of the Llama3v1
Model |
Likes |
Downloads |
VRAM |
|---|---|---|---|
| ...a Llama 3 70B Instruct GPTQ 8B | 0 | 267 | 5 GB |
Best Alternatives to Llama3v1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llama 3 70B Instruct Spider | 0K / 141.9 GB | 6 | 0 |
| LLaMA 2 Wizard 70B QLoRA | 0K / 1.7 GB | 0 | 4 |
| Saiga2 70b Lora | 0K / 0.3 GB | 0 | 13 |
| Llama 2 70B Instruct V0.1 | 0K / 1.1 GB | 69 | 14 |
Note: green Score (e.g. "73.2") means that the model is better than aryansiddiqui/llama3v1 .
Rank the Llama3v1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803