Model Card on HF 🤗: https://huggingface.co/OpenBuddy/openbuddy-mixtral-22bx8-v21.1-65k-gptq
Openbuddy Mixtral 22bx8 V21.1 65K 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)
Openbuddy Mixtral 22bx8 V21.1 65K Gptq Parameters and Internals
| LLM Name | Openbuddy Mixtral 22bx8 V21.1 65K Gptq |
| Repository 🤗 | https://huggingface.co/OpenBuddy/openbuddy-mixtral-22bx8-v21.1-65k-gptq |
| Updated | 2025-02-17 |
| Maintainer | OpenBuddy |
| Model Type | mixtral |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 65536 |
| Model Max Length | 65536 |
| Transformers Version | 4.40.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|pad0|> |
| Vocabulary Size | 47104 |
| Torch Data Type | float16 |
Best Alternatives to Openbuddy Mixtral 22bx8 V21.1 65K Gptq
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| LHK DPO V1 GPTQ 4bit | 32K / 7.8 GB | 5 | 1 |
| ...dy Mixtral 7bx8 V18.1 32K Gptq | 32K / 24.8 GB | 33 | 3 |
| Mixtral 8x7B V0.1 Int8 GPTQ | 32K / GB | 12 | 2 |
| Blue Orchid 2x7b GPTQ | 8K / 7.1 GB | 56 | 1 |
| ...oE V0.1 DPO F16 5.0bpw H6 EXL2 | 195K / 38.8 GB | 10 | 0 |
| ...oE V0.1 DPO F16 4.0bpw H6 EXL2 | 195K / 31.3 GB | 8 | 0 |
| ...2 Mixtral 8x22b 6.0bpw H8 EXL2 | 64K / 105.8 GB | 7 | 1 |
| WizardLM 2 8x22 EXL2 4.0bpw | 64K / 70.9 GB | 8 | 1 |
| ...rdLM 2 8x22B Beige EXL2 5.0bpw | 64K / 88.4 GB | 17 | 0 |
| ...M 2 8x22B Beige 4.0bpw H6 EXL2 | 64K / 70.8 GB | 13 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than OpenBuddy/openbuddy-mixtral-22bx8-v21.1-65k-gptq .
Rank the Openbuddy Mixtral 22bx8 V21.1 65K Gptq Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227