4bit Autotrain compatible Base model:finetune:unsloth/ll... Base model:unsloth/llama-3-8b-... En Endpoints compatible Instruct Llama Mistral Pytorch Quantized Region:us Sft Sharded Trl Unsloth
Model 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)
Model Parameters and Internals
| LLM Name | Model |
| Repository 🤗 | https://huggingface.co/Violayang/model |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 30.6 GB |
| Updated | 2024-09-07 |
| Maintainer | Violayang |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | [control_768] |
| Vocabulary Size | 32768 |
| Torch Data Type | float16 |
Best Alternatives to Model
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| FTAudit Vuln Llama3 8B V0.3 | 32K / 4.1 GB | 6 | 0 |
| Phi3 Mini 4bit COIG CQIA | 4K / 2.3 GB | 5 | 0 |
| Hathor V3.4 | 32K / 14.5 GB | 6 | 0 |
| Hathor V4 | 32K / 14.5 GB | 6 | 0 |
| Test | 32K / 7.6 GB | 764 | 0 |
| Tor 8B | 16K / 16.8 GB | 61 | 1 |
| ...tral NeMo Minitron 8B Instruct | 8K / 16.8 GB | 1921 | 45 |
Note: green Score (e.g. "73.2") means that the model is better than Violayang/model .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803