Autotrain compatible Conversational Endpoints compatible Instruct Mixtral Moe Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/bhavnah/MergedExperts-2x8b
MergedExperts 2x8b 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)
MergedExperts 2x8b Parameters and Internals
| LLM Name | MergedExperts 2x8b |
| Repository 🤗 | https://huggingface.co/bhavnah/MergedExperts-2x8b |
| Model Size | 12.9b |
| Required VRAM | 25.8 GB |
| Updated | 2025-02-05 |
| Maintainer | bhavnah |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MixtralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to MergedExperts 2x8b
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Inf Silent Kunoichi V0.1 2x7B | 32K / 25.6 GB | 5 | 0 |
| Inf Silent Kunoichi V0.2 2x7B | 32K / 25.6 GB | 5 | 0 |
| MergedExpert 2x8b | 32K / 25.8 GB | 6 | 0 |
| NearalMistral 2x7B | 32K / 25.8 GB | 58 | 1 |
| Megatron V3 2x7B | 32K / 25.8 GB | 62 | 3 |
| Orthogonal 2x7B Base | 32K / 25.8 GB | 1226 | 0 |
| MistarlingMaid 2x7B Base | 32K / 25.8 GB | 53 | 0 |
| ...afted Hermetic Platypus C 2x7B | 32K / 25.8 GB | 53 | 0 |
| ...tral 7B Instruct V0.2 2x7B MoE | 32K / 25.8 GB | 1131 | 4 |
| Mistral 2x7b V0.1 | 32K / 25.8 GB | 4 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than bhavnah/MergedExperts-2x8b .
Rank the MergedExperts 2x8b Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227