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Deepmoney 34B 200K Base AWQ 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)
Deepmoney 34B 200K Base AWQ Parameters and Internals
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| LLM Name | Deepmoney 34B 200K Base AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/deepmoney-34b-200k-base-AWQ |
| Model Name | Deepmoney 34B 200K Base |
| Model Creator | triad party |
| Base Model(s) | |
| Model Size | 34b |
| Required VRAM | 19.3 GB |
| Updated | 2024-11-21 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| Supported Languages | en zh |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 200000 |
| Model Max Length | 200000 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64000 |
| Torch Data Type | float16 |
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| Nontoxic Bagel 34B V0.2 AWQ | 195K / 19.3 GB | 13 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/deepmoney-34b-200k-base-AWQ .
Rank the Deepmoney 34B 200K Base AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110