Autotrain compatible Conversational Endpoints compatible Ko Merge Mistral Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/Alphacode-AI/Alphacode-MALI-9B
Alphacode MALI 9B 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)
Alphacode MALI 9B Parameters and Internals
| Model Type |
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| Supported Languages |
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| Training Details |
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| LLM Name | Alphacode MALI 9B |
| Repository 🤗 | https://huggingface.co/Alphacode-AI/Alphacode-MALI-9B |
| Model Size | 9b |
| Required VRAM | 17.9 GB |
| Updated | 2025-02-22 |
| Maintainer | Alphacode-AI |
| Model Type | mistral |
| Model Files | |
| Supported Languages | ko |
| Model Architecture | MistralForCausalLM |
| License | cc-by-4.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Alphacode MALI 9B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Peagle 9B | 32K / 18 GB | 10550 | 0 |
| GML Mistral Merged V1 | 32K / 18 GB | 1929 | 1 |
| MetaMath Mistral Pro | 32K / 17.9 GB | 20 | 5 |
| ...onarch Neurotic 9B Passthrough | 32K / 17.9 GB | 26 | 0 |
| Mistral 9B Instruct | 32K / 35.9 GB | 7 | 0 |
| MistralTrix V1 | 32K / 17.9 GB | 1828 | 111 |
| Garbage 9B | 32K / 17.9 GB | 24 | 3 |
| Notus TheTop 7B Passthrough | 32K / 18 GB | 9 | 0 |
| Neuronovo 9B V0.4 | 32K / 35.9 GB | 1744 | 5 |
| Bepis 9B | 32K / 18 GB | 35 | 6 |
Note: green Score (e.g. "73.2") means that the model is better than Alphacode-AI/Alphacode-MALI-9B .
Rank the Alphacode MALI 9B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227