4-bit Autotrain compatible Awq Base model:lumiopen/poro-34b Base model:quantized:lumiopen/... Bloom Dataset:allenai/dolma Dataset:bigcode/starcoderdata Dataset:cerebras/slimpajama-62... Dataset:mc4 Quantized Region:us Safetensors Sharded Tensorflow
Poro 34B 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)
Poro 34B AWQ Parameters and Internals
| LLM Name | Poro 34B AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/Poro-34B-AWQ |
| Model Name | Poro 34B |
| Model Creator | LumiOpen |
| Base Model(s) | |
| Model Size | 34b |
| Required VRAM | 21 GB |
| Updated | 2024-09-07 |
| Maintainer | TheBloke |
| Model Type | bloom |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | BloomForCausalLM |
| License | apache-2.0 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | BloomTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 128000 |
| Torch Data Type | float16 |
Best Alternatives to Poro 34B AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Poro 34B AWQ | 0K / 21 GB | 15 | 1 |
| Poro 34B Chat | 0K / 68 GB | 834 | 9 |
| Poro 34B GPTQ | 0K / 20.3 GB | 40 | 3 |
| Poro 34B | 0K / 68 GB | 1726 | 112 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Poro-34B-AWQ .
Rank the Poro 34B AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803