4-bit Autotrain compatible Base model:01-ai/yi-34b Base model:quantized:01-ai/yi-... Custom code Gptq Quantized Region:us Safetensors Sharded Tensorflow Yi
Model Card on HF 🤗: https://huggingface.co/TheBloke/Yi-34B-GPTQ
Yi 34B GPTQ 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)
Yi 34B GPTQ Parameters and Internals
| Model Type |
| |||
| Input Output |
|
| LLM Name | Yi 34B GPTQ |
| Repository 🤗 | https://huggingface.co/TheBloke/Yi-34B-GPTQ |
| Model Name | Yi 34B |
| Model Creator | 01-ai |
| Base Model(s) | |
| Model Size | 34b |
| Required VRAM | 18.7 GB |
| Updated | 2025-09-23 |
| Maintainer | TheBloke |
| Model Type | yi |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | YiForCausalLM |
| License | other |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.35.0 |
| Tokenizer Class | YiTokenizer |
| Vocabulary Size | 64000 |
| Torch Data Type | float16 |
Best Alternatives to Yi 34B GPTQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Yi 34B 200K GPTQ | 195K / 18.6 GB | 7 | 3 |
| ...lpaca Rpv3 Scipy 4bpw Hb6 EXL2 | 195K / 18.7 GB | 5 | 2 |
| ...200K Alpaca Rpv3 4bpw Hb6 EXL2 | 195K / 18.7 GB | 4 | 2 |
| Yi 34B 200K 4.65bpw H6 EXL2 | 195K / 20.8 GB | 4 | 6 |
| Yi 34B 200K 4.0bpw H6 EXL2 | 195K / 18.1 GB | 6 | 3 |
| Yi 34B 200K 8.0bpw H8 EXL2 | 195K / 34.8 GB | 4 | 3 |
| Yi 34B 200K 5.0bpw H6 EXL2 | 195K / 22.3 GB | 4 | 1 |
| Deepsex 34B 4bpw H8 EXL2 | 4K / 18.1 GB | 6 | 5 |
| Deepsex 34B 4bpw H6 EXL2 | 4K / 18.1 GB | 5 | 4 |
| Yi 34B 5.0bpw H6 EXL2 | 4K / 22.2 GB | 5 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Yi-34B-GPTQ .
Rank the Yi 34B GPTQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124