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Granite 8B Code Instruct GGUF
Model creator: ibm-granite
Original model: granite-8b-code-instruct
Model Summary:
Granite-8B-Code-Instruct is a 8B parameter model fine tuned from Granite-8B-Code-Base on a combination of permissively licensed instruction data to enhance instruction following capabilities including logical reasoning and problem-solving skills.
- Developers: IBM Research
- GitHub Repository: ibm-granite/granite-code-models
- Paper: Granite Code Models: A Family of Open Foundation Models for Code Intelligence
- Release Date: May 6th, 2024
- License: Apache 2.0.
Prompt Template:
If you're using Sanctum app, simply use IBM Granite Code
model preset.
Prompt template:
System:
{system_prompt}
Question:
{prompt}
Answer:
Hardware Requirements Estimate
Name | Quant method | Size | Memory (RAM, vRAM) required |
---|---|---|---|
granite-8b-code-instruct.Q2_K.gguf | Q2_K | 3.06 GB | 7.47 GB |
granite-8b-code-instruct.Q3_K_S.gguf | Q3_K_S | 3.55 GB | ? |
granite-8b-code-instruct.Q3_K_M.gguf | Q3_K_M | 3.94 GB | ? |
granite-8b-code-instruct.Q3_K_L.gguf | Q3_K_L | 4.29 GB | ? |
granite-8b-code-instruct.Q4_0.gguf | Q4_0 | 4.59 GB | ? |
granite-8b-code-instruct.Q4_K_S.gguf | Q4_K_S | 4.62 GB | ? |
granite-8b-code-instruct.Q4_K_M.gguf | Q4_K_M | 4.88 GB | ? |
granite-8b-code-instruct.Q4_K.gguf | Q4_K | 4.88 GB | ? |
granite-8b-code-instruct.Q4_1.gguf | Q4_1 | 5.08 GB | ? |
granite-8b-code-instruct.Q5_0.gguf | Q5_0 | 5.57 GB | ? |
granite-8b-code-instruct.Q5_K_S.gguf | Q5_K_S | 5.57 GB | ? |
granite-8b-code-instruct.Q5_K_M.gguf | Q5_K_M | 5.72 GB | ? |
granite-8b-code-instruct.Q5_K.gguf | Q5_K | 5.72 GB | ? |
granite-8b-code-instruct.Q5_1.gguf | Q5_1 | 6.06 GB | ? |
granite-8b-code-instruct.Q6_K.gguf | Q6_K | 6.62 GB | ? |
granite-8b-code-instruct.Q8_0.gguf | Q8_0 | 8.57 GB | ? |
granite-8b-code-instruct.f16.gguf | f16 | 16.12 GB | 19.62 GB |
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Model tree for SanctumAI/granite-8b-code-instruct-GGUF
Base model
ibm-granite/granite-8b-code-base-4kDatasets used to train SanctumAI/granite-8b-code-instruct-GGUF
Evaluation results
- pass@1 on HumanEvalSynthesis(Python)self-reported57.900
- pass@1 on HumanEvalSynthesis(JavaScript)self-reported52.400
- pass@1 on HumanEvalSynthesis(Java)self-reported58.500
- pass@1 on HumanEvalSynthesis(Go)self-reported43.300
- pass@1 on HumanEvalSynthesis(C++)self-reported48.200
- pass@1 on HumanEvalSynthesis(Rust)self-reported37.200
- pass@1 on HumanEvalExplain(Python)self-reported53.000
- pass@1 on HumanEvalExplain(JavaScript)self-reported42.700
- pass@1 on HumanEvalExplain(Java)self-reported52.400
- pass@1 on HumanEvalExplain(Go)self-reported36.600