4-bit Autotrain compatible Awq Base model:maziyarpanahi/llama... Base model:quantized:maziyarpa... Conversational En Endpoints compatible - mergeki... Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow
Llama 3 16B Instruct V0.1 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)
Llama 3 16B Instruct V0.1 AWQ Parameters and Internals
| LLM Name | Llama 3 16B Instruct V0.1 AWQ |
| Repository 🤗 | https://huggingface.co/solidrust/Llama-3-16B-Instruct-v0.1-AWQ |
| Model Name | Llama-3-16B-Instruct-v0.1 |
| Model Creator | MaziyarPanahi |
| Base Model(s) | |
| Model Size | 16b |
| Required VRAM | 10.3 GB |
| Updated | 2024-09-08 |
| Maintainer | solidrust |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 128256 |
| Torch Data Type | float16 |
Rank the Llama 3 16B Instruct V0.1 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803