4-bit Autotrain compatible Awq Base model:quantized:undi95/ll... Base model:undi95/llama-3-chat... Conversational Endpoints compatible Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow
Llama 3 Chatty 2x8B 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 Chatty 2x8B AWQ Parameters and Internals
| LLM Name | Llama 3 Chatty 2x8B AWQ |
| Repository 🤗 | https://huggingface.co/solidrust/Llama-3-Chatty-2x8B-AWQ |
| Base Model(s) | |
| Model Size | 2.7b |
| Required VRAM | 8.7 GB |
| Updated | 2024-09-08 |
| Maintainer | solidrust |
| Model Type | mixtral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MixtralForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|begin_of_text|> |
| Vocabulary Size | 128256 |
| Torch Data Type | float16 |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803