Arxiv:2212.10560 Arxiv:2303.08774 Arxiv:2309.11235 4-bit Autotrain compatible Base model:nurtureai/openchat ... Base model:quantized:nurtureai... Gptq Mistral Quantized Region:us Safetensors
Openchat 3.5 16K GPTQ Parameters and Internals
| LLM Name | Openchat 3.5 16K GPTQ |
| Repository | Open on 🤗 |
| Model Name | Openchat 3.5 16K |
| Model Creator | NurtureAI |
| Base Model(s) | |
| Model Size | 1.2b |
| Required VRAM | 4.2 GB |
| Updated | 2024-07-27 |
| Maintainer | TheBloke |
| Model Type | mistral |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.35.0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32002 |
| Torch Data Type | float16 |
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Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| Multi Verse Model GPTQ | 0.2 | 32K / 4.2 GB | 299 | 1 |
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| ... Finetune 16bit Ver9 Main GPTQ | 0.2 | 32K / 4.2 GB | 6 | 0 |
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| Em German Leo Mistral GPTQ | 0.2 | 32K / 4.2 GB | 2086 | 11 |
| HamSter 0.1 GPTQ | 0.2 | 32K / 4.2 GB | 6 | 2 |
| Phoenix GPTQ | 0.2 | 32K / 4.2 GB | 11 | 1 |
| ...hat 3.5 1210 Seraph Slerp GPTQ | 0.2 | 32K / 4.2 GB | 7 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/openchat_3.5-16k-GPTQ .
Rank the Openchat 3.5 16K GPTQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501