Model Card on HF 🤗: https://huggingface.co/denisman/llama-2.4
Llama 2.4 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)
Llama 2.4 Parameters and Internals
| LLM Name | Llama 2.4 |
| Repository 🤗 | https://huggingface.co/denisman/llama-2.4 |
| Model Size | 12.9b |
| Required VRAM | 25.8 GB |
| Updated | 2025-09-08 |
| Maintainer | denisman |
| Model Type | mixtral |
| Model Files | |
| Model Architecture | MixtralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.44.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Llama 2.4
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MixTAO 7Bx2 MoE V8.1 | 32K / 25.8 GB | 20464 | 55 |
| Inf Silent Kunoichi V0.1 2x7B | 32K / 25.6 GB | 8 | 0 |
| Inf Silent Kunoichi V0.2 2x7B | 32K / 25.6 GB | 10 | 1 |
| MixTAO 7Bx2 MoE V8.1 | 32K / 25.8 GB | 8760 | 52 |
| LogoS 7Bx2 MoE 13B V0.2 | 32K / 25.9 GB | 9237 | 10 |
| MultiMash8 13B Slerp | 32K / 25.7 GB | 6 | 0 |
| MultiMash11 13B Slerp | 32K / 25.7 GB | 5 | 0 |
| MultiMash9 13B Slerp | 32K / 25.7 GB | 5 | 0 |
| MultiMash10 13B Slerp | 32K / 25.7 GB | 7 | 0 |
| Mixtral 7Bx2 MoE | 32K / 25.8 GB | 1748 | 36 |
Note: green Score (e.g. "73.2") means that the model is better than denisman/llama-2.4 .
Rank the Llama 2.4 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124