Merged Model Base model:epistemeai2/firebal... Base model:finetune:epistemeai... Epistemeai2/fireball-mistral-n... Instruct Mistral Region:us Safetensors Sharded Tensorflow
Fireball Mistral Nemo Instruct 24B Merge V1 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)
Fireball Mistral Nemo Instruct 24B Merge V1 Parameters and Internals
| LLM Name | Fireball Mistral Nemo Instruct 24B Merge V1 |
| Repository 🤗 | https://huggingface.co/EpistemeAI/Fireball-Mistral-Nemo-Instruct-24B-merge-v1 |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 24b |
| Required VRAM | 24.6 GB |
| Updated | 2024-09-08 |
| Maintainer | EpistemeAI |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 1024000 |
| Model Max Length | 1024000 |
| Transformers Version | 4.42.4 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <pad> |
| Vocabulary Size | 131072 |
| Torch Data Type | bfloat16 |
Rank the Fireball Mistral Nemo Instruct 24B Merge V1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803