4-bit Autotrain compatible Awq Base model:maywell/pivot-10.7b... Base model:quantized:maywell/p... Conversational En Mistral Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/PiVoT-10.7B-Mistral-v0.2-RP-AWQ
PiVoT 10.7B Mistral V0.2 RP 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)
PiVoT 10.7B Mistral V0.2 RP AWQ Parameters and Internals
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| LLM Name | PiVoT 10.7B Mistral V0.2 RP AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/PiVoT-10.7B-Mistral-v0.2-RP-AWQ |
| Model Name | Pivot 10.7B Mistral V0.2 RP |
| Model Creator | Jeonghwan Park |
| Base Model(s) | |
| Model Size | 10.7b |
| Required VRAM | 6 GB |
| Updated | 2024-12-22 |
| Maintainer | TheBloke |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MistralForCausalLM |
| License | cc-by-sa-4.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to PiVoT 10.7B Mistral V0.2 RP AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| PiVoT 10.7B Mistral V0.2 AWQ | 32K / 6 GB | 12 | 2 |
| Pandora V1.10.7B AWQ | 32K / 6 GB | 19 | 1 |
| ...l Maid 32K V0.2 A EXL2 Bpw 6.0 | 32K / 8.2 GB | 10 | 1 |
| PiVoT 10.7B Mistral V0.2 | 32K / 21.4 GB | 5154 | 5 |
| Barely Regal 10.7B GGUF | 32K / 6.5 GB | 38 | 0 |
| Barely Regal 10.7B | 32K / 21.5 GB | 19 | 0 |
| Quintellect 10.7B | 32K / 21.4 GB | 90 | 3 |
| Chikuma 10.7B | 32K / 21.4 GB | 301 | 5 |
| Multi Verse Model 10.7B | 32K / 21.5 GB | 17 | 1 |
| BetaMonarch 10.7B | 32K / 21.5 GB | 35 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/PiVoT-10.7B-Mistral-v0.2-RP-AWQ .
Rank the PiVoT 10.7B Mistral V0.2 RP AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217