Autotrain compatible Codegen Conversational Endpoints compatible Instruct Mixtral Moe Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/MrezaPRZ/CodeLlama-4x7B-experts-base
CodeLlama 4x7B Experts Base 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)
CodeLlama 4x7B Experts Base Parameters and Internals
| LLM Name | CodeLlama 4x7B Experts Base |
| Repository 🤗 | https://huggingface.co/MrezaPRZ/CodeLlama-4x7B-experts-base |
| Model Size | 19.7b |
| Required VRAM | 39.5 GB |
| Updated | 2025-06-01 |
| Maintainer | MrezaPRZ |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| Generates Code | Yes |
| Model Architecture | MixtralForCausalLM |
| Context Length | 16384 |
| Model Max Length | 16384 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | CodeLlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 32016 |
| Torch Data Type | bfloat16 |
Rank the CodeLlama 4x7B Experts Base Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 47770 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227