Arxiv:2306.01708 Arxiv:2311.03099 4-bit Autotrain compatible Base model:brucethemoose/yi-34... Base model:quantized:brucethem... En Gptq Llama Merge Mergekit Quantized Region:us Safetensors Yi
Model Card on HF 🤗: https://huggingface.co/TheBloke/Yi-34B-200K-DARE-megamerge-v8-GPTQ
Yi 34B 200K DARE Megamerge V8 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 200K DARE Megamerge V8 GPTQ Parameters and Internals
| Model Type |
| |||
| Additional Notes |
| |||
| Input Output |
|
| LLM Name | Yi 34B 200K DARE Megamerge V8 GPTQ |
| Repository 🤗 | https://huggingface.co/TheBloke/Yi-34B-200K-DARE-megamerge-v8-GPTQ |
| Model Name | Yi 34B 200K DARE MegaMerge V8 |
| Model Creator | brucethemoose |
| Base Model(s) | |
| Model Size | 34b |
| Required VRAM | 18.6 GB |
| Updated | 2025-09-23 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| 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 | 64002 |
| Torch Data Type | bfloat16 |
Best Alternatives to Yi 34B 200K DARE Megamerge V8 GPTQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Yi 34B 200K RPMerge GPTQ | 195K / 21.2 GB | 10 | 3 |
| Smaug 34B V0.1 GPTQ | 195K / 21.2 GB | 8 | 1 |
| Tess 34B V1.5B GPTQ | 195K / 18.6 GB | 11 | 8 |
| Deepmoney 34B 200K Base GPTQ | 195K / 18.6 GB | 7 | 3 |
| ...y 34B 200K Chat Evaluator GPTQ | 195K / 18.6 GB | 6 | 3 |
| ...ous Capybara Limarpv3 34B GPTQ | 195K / 18.6 GB | 11 | 4 |
| Bagel DPO 34B V0.2 GPTQ | 195K / 18.6 GB | 20 | 2 |
| Bagel 34B V0.2 GPTQ | 195K / 18.6 GB | 16 | 2 |
| Nontoxic Bagel 34B V0.2 GPTQ | 195K / 18.6 GB | 8 | 1 |
| Yi 34B 200K AEZAKMI V2 GPTQ | 195K / 18.6 GB | 7 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Yi-34B-200K-DARE-megamerge-v8-GPTQ .
Rank the Yi 34B 200K DARE Megamerge V8 GPTQ Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 51545 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124