4-bit Autotrain compatible Awq Base model:adamo1139/yi-34b-20... Base model:quantized:adamo1139... Dataset:adamo1139/aezakmi v2 Finetuned Llama Quantized Region:us Safetensors Sharded Tensorflow Yi
Yi 34B 200K AEZAKMI V2 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)
Yi 34B 200K AEZAKMI V2 AWQ Parameters and Internals
| LLM Name | Yi 34B 200K AEZAKMI V2 AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/Yi-34B-200K-AEZAKMI-v2-AWQ |
| Model Name | Yi 34B 200K Aezakmi v2 |
| Model Creator | Adam |
| Base Model(s) | |
| Model Size | 34b |
| Required VRAM | 19.3 GB |
| Updated | 2024-10-18 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 200000 |
| Model Max Length | 200000 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64000 |
| Torch Data Type | float16 |
Best Alternatives to Yi 34B 200K AEZAKMI V2 AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Nous Capybara Limarpv3 34B AWQ | 195K / 19.3 GB | 489 | 1 |
| Opus V1 34B AWQ | 195K / 19.2 GB | 3 | 1 |
| Smaug 34B V0.1 AWQ | 195K / 19.2 GB | 5 | 2 |
| Yi 34B 200K RPMerge AWQ | 195K / 19.2 GB | 6 | 1 |
| Tess 34B V1.5B AWQ | 195K / 19.3 GB | 12 | 3 |
| ...34B 200K DARE Megamerge V8 AWQ | 195K / 19.3 GB | 18 | 2 |
| ...ey 34B 200K Chat Evaluator AWQ | 195K / 19.3 GB | 3 | 5 |
| Deepmoney 34B 200K Base AWQ | 195K / 19.3 GB | 5 | 1 |
| Bagel DPO 34B V0.2 AWQ | 195K / 19.3 GB | 13 | 7 |
| Bagel 34B V0.2 AWQ | 195K / 19.3 GB | 9 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Yi-34B-200K-AEZAKMI-v2-AWQ .
Rank the Yi 34B 200K AEZAKMI V2 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803