Base model:epistemeai/fireball... Base model:quantized:epistemea... En Endpoints compatible Fp16 Gguf Mistral Quantized Region:us Safetensors Sharded Tensorflow Trl Unsloth
Fireball Mistral Nemo Base 2407 Sft V2 F16 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)
Fireball Mistral Nemo Base 2407 Sft V2 F16 Gguf Parameters and Internals
| LLM Name | Fireball Mistral Nemo Base 2407 Sft V2 F16 Gguf |
| Repository 🤗 | https://huggingface.co/EpistemeAI/Fireball-Mistral-Nemo-Base-2407-sft-v2-f16-gguf |
| Base Model(s) | |
| Model Size | 12.2b |
| Required VRAM | 24.5 GB |
| Updated | 2024-09-18 |
| Maintainer | EpistemeAI |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | fp16|gguf |
| Model Architecture | AutoModel |
| License | apache-2.0 |
| Model Max Length | 1024000 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <pad> |
Rank the Fireball Mistral Nemo Base 2407 Sft V2 F16 Gguf Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803