Arxiv:2302.70971 Arxiv:2305.12031 Arxiv:2305.14314 4-bit Autotrain compatible Awq Base model:augtoma/qcammel-70-... Base model:quantized:augtoma/q... En Llama Llama2 Pytorch Qcammel-70 Quantized Region:us Safetensors Sharded Tensorflow
QCammel 70 X 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)
QCammel 70 X AWQ Parameters and Internals
| LLM Name | QCammel 70 X AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/qCammel-70-x-AWQ |
| Model Name | qCammel 70 |
| Model Creator | augtoma |
| Base Model(s) | |
| Model Size | 9.7b |
| Required VRAM | 36.6 GB |
| Updated | 2024-09-19 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.32.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Rank the QCammel 70 X AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803