4-bit Autotrain compatible Awq Endpoints compatible Ko Llama Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/VincentChoi00/STOCK_SOLAR-10.7B-AWQ
STOCK SOLAR 10.7B 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)
STOCK SOLAR 10.7B AWQ Parameters and Internals
| Model Type |
| |
| Supported Languages |
|
| LLM Name | STOCK SOLAR 10.7B AWQ |
| Repository 🤗 | https://huggingface.co/VincentChoi00/STOCK_SOLAR-10.7B-AWQ |
| Base Model(s) | |
| Model Size | 10.7b |
| Required VRAM | 6 GB |
| Updated | 2025-01-16 |
| Maintainer | VincentChoi00 |
| Model Type | llama |
| Model Files | |
| Supported Languages | ko |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to STOCK SOLAR 10.7B AWQ
Best Alternatives |
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Downloads |
Likes |
|---|---|---|---|
| KULLM3 AWQ | 4K / 6 GB | 28 | 5 |
| Tess 10.7B V1.5B AWQ | 4K / 6 GB | 29 | 4 |
| Nous Hermes 2 SOLAR 10.7B AWQ | 4K / 6 GB | 24 | 10 |
| Sensualize Solar 10.7B AWQ | 4K / 6 GB | 22 | 2 |
| CarbonVillain En 10.7B V4 AWQ | 4K / 6 GB | 15 | 1 |
| SOLAR 10.7B Instruct V1.0 AWQ | 4K / 6 GB | 131 | 5 |
| LMCocktail 10.7B V1 AWQ | 4K / 6 GB | 16 | 1 |
| Frostwind 10.7B V1 AWQ | 4K / 6 GB | 18 | 1 |
| SOLAR Platypus 10.7B V2 AWQ | 4K / 6 GB | 15 | 2 |
| Solar 10.7B SLERP AWQ | 4K / 6 GB | 24 | 1 |
Rank the STOCK SOLAR 10.7B AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227