Text Generation
Transformers
GGUF
ibm-granite-code
code
granite
Eval Results
File size: 10,031 Bytes
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---
pipeline_tag: text-generation
base_model: ibm-granite/granite-8b-code-base
inference: false
license: apache-2.0
datasets:
- bigcode/commitpackft
- TIGER-Lab/MathInstruct
- meta-math/MetaMathQA
- glaiveai/glaive-code-assistant-v3
- glaive-function-calling-v2
- bugdaryan/sql-create-context-instruction
- garage-bAInd/Open-Platypus
- nvidia/HelpSteer
metrics:
- code_eval
library_name: transformers
tags:
- code
- granite
model-index:
- name: granite-8b-code-instruct
  results:
  - task:
      type: text-generation
    dataset:
        type: bigcode/humanevalpack 
        name: HumanEvalSynthesis(Python)
    metrics:
    - name: pass@1
      type: pass@1
      value: 57.9
      veriefied: false
  - task:
      type: text-generation
    dataset:
        type: bigcode/humanevalpack  
        name: HumanEvalSynthesis(JavaScript)
    metrics:
    - name: pass@1
      type: pass@1
      value: 52.4
      veriefied: false
  - task:
      type: text-generation
    dataset:
        type: bigcode/humanevalpack  
        name: HumanEvalSynthesis(Java)
    metrics:
    - name: pass@1
      type: pass@1
      value: 58.5
      veriefied: false
  - task:
      type: text-generation
    dataset:
        type: bigcode/humanevalpack  
        name: HumanEvalSynthesis(Go)
    metrics:
    - name: pass@1
      type: pass@1
      value: 43.3
      veriefied: false
  - task:
      type: text-generation
    dataset:
        type: bigcode/humanevalpack  
        name: HumanEvalSynthesis(C++)
    metrics:
    - name: pass@1
      type: pass@1
      value: 48.2
      veriefied: false
  - task:
      type: text-generation
    dataset:
        type: bigcode/humanevalpack  
        name: HumanEvalSynthesis(Rust)
    metrics:
    - name: pass@1
      type: pass@1
      value: 37.2
      veriefied: false
  - task:
      type: text-generation
    dataset:
        type: bigcode/humanevalpack  
        name:  HumanEvalExplain(Python)
    metrics:
    - name: pass@1
      type: pass@1
      value: 53.0
      veriefied: false
  - task:
      type: text-generation
    dataset:
        type: bigcode/humanevalpack  
        name:  HumanEvalExplain(JavaScript)
    metrics:
    - name: pass@1
      type: pass@1
      value: 42.7
      veriefied: false
  - task:
      type: text-generation
    dataset:
        type: bigcode/humanevalpack  
        name:  HumanEvalExplain(Java)
    metrics:
    - name: pass@1
      type: pass@1
      value: 52.4
      veriefied: false
  - task:
      type: text-generation
    dataset:
        type: bigcode/humanevalpack  
        name:  HumanEvalExplain(Go)
    metrics:
    - name: pass@1
      type: pass@1
      value: 36.6
      veriefied: false
  - task:
      type: text-generation
    dataset:
        type: bigcode/humanevalpack  
        name:  HumanEvalExplain(C++)
    metrics:
    - name: pass@1
      type: pass@1
      value: 43.9
      veriefied: false
  - task:
      type: text-generation
    dataset:
        type: bigcode/humanevalpack  
        name:  HumanEvalExplain(Rust)
    metrics:
    - name: pass@1
      type: pass@1
      value: 16.5
      veriefied: false
  - task:
      type: text-generation
    dataset:
        type: bigcode/humanevalpack  
        name:  HumanEvalFix(Python)
    metrics:
    - name: pass@1
      type: pass@1
      value: 39.6
      veriefied: false
  - task:
      type: text-generation
    dataset:
        type: bigcode/humanevalpack  
        name:  HumanEvalFix(JavaScript)
    metrics:
    - name: pass@1
      type: pass@1
      value: 40.9
      veriefied: false
  - task:
      type: text-generation
    dataset:
        type: bigcode/humanevalpack  
        name:  HumanEvalFix(Java)
    metrics:
    - name: pass@1
      type: pass@1
      value: 48.2
      veriefied: false
  - task:
      type: text-generation
    dataset:
        type: bigcode/humanevalpack  
        name:  HumanEvalFix(Go)
    metrics:
    - name: pass@1
      type: pass@1
      value: 41.5
      veriefied: false
  - task:
      type: text-generation
    dataset:
        type: bigcode/humanevalpack  
        name:  HumanEvalFix(C++)
    metrics:
    - name: pass@1
      type: pass@1
      value: 39.0 
      veriefied: false
  - task:
      type: text-generation
    dataset:
        type: bigcode/humanevalpack  
        name:  HumanEvalFix(Rust)
    metrics:
    - name: pass@1
      type: pass@1
      value: 32.9
      veriefied: false
---

![image/png](https://cdn-uploads.huggingface.co/production/uploads/64a28db2f1968b7d7f357182/rOiYpb6GH0VhWZRmwcOCP.png)
*This model was quantized by [SanctumAI](https://sanctum.ai). To leave feedback, join our community in [Discord](https://discord.gg/7ZNE78HJKh).*

# Granite 8B Code Instruct GGUF

**Model creator:** [ibm-granite](https://huggingface.co/ibm-granite)<br>
**Original model**: [granite-8b-code-instruct](https://huggingface.co/ibm-granite/granite-8b-code-instruct)<br>

## 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](https://github.com/ibm-granite/granite-code-models)
- **Paper:** [Granite Code Models: A Family of Open Foundation Models for Code Intelligence](https://arxiv.org/abs/2405.04324)
- **Release Date**: May 6th, 2024
- **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-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](https://huggingface.co/SanctumAI/granite-8b-code-instruct-GGUF/blob/main/granite-8b-code-instruct.Q2_K.gguf) | Q2_K | 3.06 GB | 7.47 GB |
| [granite-8b-code-instruct.Q3_K_S.gguf](https://huggingface.co/SanctumAI/granite-8b-code-instruct-GGUF/blob/main/granite-8b-code-instruct.Q3_K_S.gguf) | Q3_K_S | 3.55 GB | ? |
| [granite-8b-code-instruct.Q3_K_M.gguf](https://huggingface.co/SanctumAI/granite-8b-code-instruct-GGUF/blob/main/granite-8b-code-instruct.Q3_K_M.gguf) | Q3_K_M | 3.94 GB | ? |
| [granite-8b-code-instruct.Q3_K_L.gguf](https://huggingface.co/SanctumAI/granite-8b-code-instruct-GGUF/blob/main/granite-8b-code-instruct.Q3_K_L.gguf) | Q3_K_L | 4.29 GB | ? |
| [granite-8b-code-instruct.Q4_0.gguf](https://huggingface.co/SanctumAI/granite-8b-code-instruct-GGUF/blob/main/granite-8b-code-instruct.Q4_0.gguf) | Q4_0 | 4.59 GB | ? |
| [granite-8b-code-instruct.Q4_K_S.gguf](https://huggingface.co/SanctumAI/granite-8b-code-instruct-GGUF/blob/main/granite-8b-code-instruct.Q4_K_S.gguf) | Q4_K_S | 4.62 GB | ? |
| [granite-8b-code-instruct.Q4_K_M.gguf](https://huggingface.co/SanctumAI/granite-8b-code-instruct-GGUF/blob/main/granite-8b-code-instruct.Q4_K_M.gguf) | Q4_K_M | 4.88 GB | ? |
| [granite-8b-code-instruct.Q4_K.gguf](https://huggingface.co/SanctumAI/granite-8b-code-instruct-GGUF/blob/main/granite-8b-code-instruct.Q4_K.gguf) | Q4_K | 4.88 GB | ? |
| [granite-8b-code-instruct.Q4_1.gguf](https://huggingface.co/SanctumAI/granite-8b-code-instruct-GGUF/blob/main/granite-8b-code-instruct.Q4_1.gguf) | Q4_1 | 5.08 GB | ? |
| [granite-8b-code-instruct.Q5_0.gguf](https://huggingface.co/SanctumAI/granite-8b-code-instruct-GGUF/blob/main/granite-8b-code-instruct.Q5_0.gguf) | Q5_0 | 5.57 GB | ? |
| [granite-8b-code-instruct.Q5_K_S.gguf](https://huggingface.co/SanctumAI/granite-8b-code-instruct-GGUF/blob/main/granite-8b-code-instruct.Q5_K_S.gguf) | Q5_K_S | 5.57 GB | ? |
| [granite-8b-code-instruct.Q5_K_M.gguf](https://huggingface.co/SanctumAI/granite-8b-code-instruct-GGUF/blob/main/granite-8b-code-instruct.Q5_K_M.gguf) | Q5_K_M | 5.72 GB | ? |
| [granite-8b-code-instruct.Q5_K.gguf](https://huggingface.co/SanctumAI/granite-8b-code-instruct-GGUF/blob/main/granite-8b-code-instruct.Q5_K.gguf) | Q5_K | 5.72 GB | ? |
| [granite-8b-code-instruct.Q5_1.gguf](https://huggingface.co/SanctumAI/granite-8b-code-instruct-GGUF/blob/main/granite-8b-code-instruct.Q5_1.gguf) | Q5_1 | 6.06 GB | ? |
| [granite-8b-code-instruct.Q6_K.gguf](https://huggingface.co/SanctumAI/granite-8b-code-instruct-GGUF/blob/main/granite-8b-code-instruct.Q6_K.gguf) | Q6_K | 6.62 GB | ? |
| [granite-8b-code-instruct.Q8_0.gguf](https://huggingface.co/SanctumAI/granite-8b-code-instruct-GGUF/blob/main/granite-8b-code-instruct.Q8_0.gguf) | Q8_0 | 8.57 GB | ? |
| [granite-8b-code-instruct.f16.gguf](https://huggingface.co/SanctumAI/granite-8b-code-instruct-GGUF/blob/main/granite-8b-code-instruct.f16.gguf) | f16 | 16.12 GB | 19.62 GB |

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