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Ministral 8B Instruct 2410 HF 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)
Ministral 8B Instruct 2410 HF Parameters and Internals
| LLM Name | Ministral 8B Instruct 2410 HF |
| Repository 🤗 | https://huggingface.co/prince-canuma/Ministral-8B-Instruct-2410-HF |
| Base Model(s) | |
| Model Size | 8b |
| Updated | 2024-10-18 |
| Maintainer | prince-canuma |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Architecture | MistralForCausalLM |
| License | other |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.44.0 |
| Vocabulary Size | 131072 |
| Torch Data Type | float32 |
Best Alternatives to Ministral 8B Instruct 2410 HF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Hathor V3.4 | 32K / 14.5 GB | 5 | 0 |
| Hathor V4 | 32K / 14.5 GB | 6 | 0 |
| Tor 8B | 16K / 16.8 GB | 67 | 1 |
| ...tral NeMo Minitron 8B Instruct | 8K / 16.8 GB | 2296 | 49 |
| Model | 32K / 30.6 GB | 5 | 0 |
| FTAudit Vuln Llama3 8B V0.3 | 32K / 4.1 GB | 5 | 0 |
| Phi3 Mini 4bit COIG CQIA | 4K / 2.3 GB | 5 | 0 |
| Test | 32K / 7.6 GB | 899 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than prince-canuma/Ministral-8B-Instruct-2410-HF .
Rank the Ministral 8B Instruct 2410 HF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803