NeuralQuant 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)
NeuralQuant 9B Parameters and Internals
| LLM Name | NeuralQuant 9B |
| Repository 🤗 | https://huggingface.co/mlabonne/NeuralQuant-9B |
| Model Size | 9b |
| Required VRAM | 17.9 GB |
| Updated | 2024-09-16 |
| Maintainer | mlabonne |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Quantized Models of the NeuralQuant 9B
Model |
Likes |
Downloads |
VRAM |
|---|---|---|---|
| NeuralQuant 9B GGUF | 1 | 103 | 3 GB |
Best Alternatives to NeuralQuant 9B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Peagle 9B | 32K / 18 GB | 8887 | 0 |
| Alphacode MALI 9B | 32K / 17.9 GB | 1903 | 0 |
| MetaMath Mistral Pro | 32K / 17.9 GB | 33 | 5 |
| Mistral 9B Instruct | 32K / 35.9 GB | 6 | 0 |
| ...onarch Neurotic 9B Passthrough | 32K / 17.9 GB | 58 | 0 |
| GML Mistral Merged V1 | 32K / 18 GB | 705 | 1 |
| MistralTrix V1 | 32K / 17.9 GB | 703 | 111 |
| Garbage 9B | 32K / 17.9 GB | 56 | 2 |
| Notus TheTop 7B Passthrough | 32K / 18 GB | 6 | 0 |
| Bepis 9B | 32K / 18 GB | 62 | 6 |
Note: green Score (e.g. "73.2") means that the model is better than mlabonne/NeuralQuant-9B .
Rank the NeuralQuant 9B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803