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StarCoder2-15B-Instruct-v0.1-GGUF

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- license: apache-2.0
 
 
 
 
 
 
 
 
 
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+ base_model: bigcode/starcoder2-15b-instruct-v0.1
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+ inference: false
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+ license: bigcode-openrail-m
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+ library_name: transformers
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+ model_creator: bigcode
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+ model_name: StarCoder2-15B-Instruct-v0.1
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+ pipeline_tag: text-generation
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+ quantized_by: Second State Inc.
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+ tags:
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+ - code
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  ---
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+
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+ <!-- header start -->
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+ <!-- 200823 -->
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+ <div style="width: auto; margin-left: auto; margin-right: auto">
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+ <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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+ </div>
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+ <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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+ <!-- header end -->
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+
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+ # StarCoder2-15B-Instruct-v0.1-GGUF
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+
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+ ## Original Model
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+
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+ [bigcode/starcoder2-15b-instruct-v0.1](https://huggingface.co/bigcode/starcoder2-15b-instruct-v0.1)
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+
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+ ## Run with LlamaEdge
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+
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+ - LlamaEdge version: coming soon
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+
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+ - Context size: `6144`
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+
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+ ## Quantized GGUF Models
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+
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+ | Name | Quant method | Bits | Size | Use case |
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+ | ---- | ---- | ---- | ---- | ----- |
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+ | [starcoder2-15b-instruct-v0.1-Q2_K.gguf](https://huggingface.co/second-state/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q2_K.gguf) | Q2_K | 2 | 6.19 GB| smallest, significant quality loss - not recommended for most purposes |
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+ | [starcoder2-15b-instruct-v0.1-Q3_K_L.gguf](https://huggingface.co/second-state/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q3_K_L.gguf) | Q3_K_L | 3 | 8.97 GB| small, substantial quality loss |
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+ | [starcoder2-15b-instruct-v0.1-Q3_K_M.gguf](https://huggingface.co/second-state/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q3_K_M.gguf) | Q3_K_M | 3 | 8.1 GB| very small, high quality loss |
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+ | [starcoder2-15b-instruct-v0.1-Q3_K_S.gguf](https://huggingface.co/second-state/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q3_K_S.gguf) | Q3_K_S | 3 | 6.99 GB| very small, high quality loss |
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+ | [starcoder2-15b-instruct-v0.1-Q4_0.gguf](https://huggingface.co/second-state/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q4_0.gguf) | Q4_0 | 4 | 9.07 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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+ | [starcoder2-15b-instruct-v0.1-Q4_K_M.gguf](https://huggingface.co/second-state/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q4_K_M.gguf) | Q4_K_M | 4 | 9.86 GB| medium, balanced quality - recommended |
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+ | [starcoder2-15b-instruct-v0.1-Q4_K_S.gguf](https://huggingface.co/second-state/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q4_K_S.gguf) | Q4_K_S | 4 | 9.26 GB| small, greater quality loss |
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+ | [starcoder2-15b-instruct-v0.1-Q5_0.gguf](https://huggingface.co/second-state/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q5_0.gguf) | Q5_0 | 5 | 11 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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+ | [starcoder2-15b-instruct-v0.1-Q5_K_M.gguf](https://huggingface.co/second-state/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q5_K_M.gguf) | Q5_K_M | 5 | 11.4 GB| large, very low quality loss - recommended |
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+ | [starcoder2-15b-instruct-v0.1-Q5_K_S.gguf](https://huggingface.co/second-state/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q5_K_S.gguf) | Q5_K_S | 5 | 11 GB| large, low quality loss - recommended |
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+ | [starcoder2-15b-instruct-v0.1-Q6_K.gguf](https://huggingface.co/second-state/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q6_K.gguf) | Q6_K | 6 | 13.1 GB| very large, extremely low quality loss |
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+ | [starcoder2-15b-instruct-v0.1-Q8_0.gguf](https://huggingface.co/second-state/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-Q8_0.gguf) | Q8_0 | 8 | 17 GB| very large, extremely low quality loss - not recommended |
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+ | [starcoder2-15b-instruct-v0.1-f16.gguf](https://huggingface.co/second-state/StarCoder2-15B-Instruct-v0.1-GGUF/blob/main/starcoder2-15b-instruct-v0.1-f16.gguf) | f16 | 16 | 31.9 GB| |
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+
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+ *Quantized with llama.cpp b2824*