Autotrain compatible Base model:grimjim/llama-3-exp... Base model:quantized:grimjim/l... Conversational En Endpoints compatible Gguf Instruct Llama Llama-3 Meta Pytorch Quantized Region:us
Llama 3 Experiment V1 9B GGUF 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 Experiment V1 9B GGUF Parameters and Internals
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| Additional Notes |
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| Supported Languages |
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| Training Details |
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| LLM Name | Llama 3 Experiment V1 9B GGUF |
| Repository 🤗 | https://huggingface.co/grimjim/llama-3-experiment-v1-9B-GGUF |
| Base Model(s) | |
| Model Size | 9b |
| Required VRAM | 5.4 GB |
| Updated | 2024-11-22 |
| Maintainer | grimjim |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | LlamaForCausalLM |
| License | llama3 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.40.1 |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to Llama 3 Experiment V1 9B GGUF
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| Yi Coder 9B Chat Instruct TIES | 128K / 17.7 GB | 12 | 0 |
| EVA Yi 1.5 9B 32K V1 | 32K / 17.7 GB | 11 | 12 |
| ...ity Instruct 3M 0625 Yi 1.5 9B | 4K / 17.7 GB | 6658 | 3 |
| ChinaLM 9B | 4K / 17.9 GB | 10 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than grimjim/llama-3-experiment-v1-9B-GGUF .
Rank the Llama 3 Experiment V1 9B GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110