4-bit 4bit Autotrain compatible Awq Base model:cognitivecomputatio... Base model:quantized:cognitive... Conversational Endpoints compatible Mistral Pruna-ai Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/PrunaAI/cognitivecomputations-dolphin-2.9.2-Phi-3-Medium-AWQ-4bit-smashed
Cognitivecomputations Dolphin 2.9.2 Phi 3 Medium AWQ 4bit Smashed 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)
Cognitivecomputations Dolphin 2.9.2 Phi 3 Medium AWQ 4bit Smashed Parameters and Internals
| Model Type |
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| Additional Notes |
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| Training Details |
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| LLM Name | Cognitivecomputations Dolphin 2.9.2 Phi 3 Medium AWQ 4bit Smashed |
| Repository 🤗 | https://huggingface.co/PrunaAI/cognitivecomputations-dolphin-2.9.2-Phi-3-Medium-AWQ-4bit-smashed |
| Base Model(s) | |
| Model Size | 2.2b |
| Required VRAM | 7.8 GB |
| Updated | 2025-02-05 |
| Maintainer | PrunaAI |
| Model Type | mistral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq|4bit |
| Model Architecture | MistralForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.40.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|placeholder6|> |
| Vocabulary Size | 32064 |
| Torch Data Type | float16 |
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Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/cognitivecomputations-dolphin-2.9.2-Phi-3-Medium-AWQ-4bit-smashed .
Rank the Cognitivecomputations Dolphin 2.9.2 Phi 3 Medium AWQ 4bit Smashed Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227