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granite-3b-code-base-128k-Q4_K_M-GGUF

Text Generation
Transformers
GGUF
code
granite
llama-cpp
gguf-my-repo
Eval Results
Model card Files Community
granite-3b-code-base-128k-Q4_K_M-GGUF
File size: 4,242 Bytes 
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---
pipeline_tag: text-generation
inference: false
license: apache-2.0
datasets:
- codeparrot/github-code-clean
- bigcode/starcoderdata
- open-web-math/open-web-math
- math-ai/StackMathQA
metrics:
- code_eval
library_name: transformers
tags:
- code
- granite
- llama-cpp
- gguf-my-repo
base_model: ibm-granite/granite-3b-code-base-128k
model-index:
- name: granite-3b-code-base-128k
  results:
  - task:
      type: text-generation
    dataset:
      name: HumanEvalSynthesis (Python)
      type: bigcode/humanevalpack
    metrics:
    - type: pass@1
      value: 36.0
      name: pass@1
      verified: false
    - type: pass@1
      value: 30.5
      name: pass@1
      verified: false
    - type: pass@1
      value: 22.4
      name: pass@1
      verified: false
    - type: pass@1
      value: 19.9
      name: pass@1
      verified: false
  - task:
      type: text-generation
    dataset:
      name: RepoQA (Python@16K)
      type: repoqa
    metrics:
    - type: pass@1 (thresh=0.5)
      value: 40.0
      name: pass@1 (thresh=0.5)
      verified: false
    - type: pass@1 (thresh=0.5)
      value: 36.0
      name: pass@1 (thresh=0.5)
      verified: false
    - type: pass@1 (thresh=0.5)
      value: 37.0
      name: pass@1 (thresh=0.5)
      verified: false
    - type: pass@1 (thresh=0.5)
      value: 27.0
      name: pass@1 (thresh=0.5)
      verified: false
    - type: pass@1 (thresh=0.5)
      value: 29.0
      name: pass@1 (thresh=0.5)
      verified: false
  - task:
      type: text-generation
    dataset:
      name: LCC (Balanced)
      type: lcc
    metrics:
    - type: Exact Match@4K
      value: 54.6
      name: Exact Match@4K
      verified: false
    - type: Exact Match@8K
      value: 56.8
      name: Exact Match@8K
      verified: false
    - type: Exact Match@16K
      value: 52.2
      name: Exact Match@16K
      verified: false
    - type: Exact Match@32K
      value: 57.8
      name: Exact Match@32K
      verified: false
  - task:
      type: text-generation
    dataset:
      name: RepoBench-P (Balanced)
      type: repobench
    metrics:
    - type: Exact Match@4K
      value: 39.8
      name: Exact Match@4K
      verified: false
    - type: Exact Match@8K
      value: 46.8
      name: Exact Match@8K
      verified: false
    - type: Exact Match@16K
      value: 43.1
      name: Exact Match@16K
      verified: false
    - type: Exact Match@32K
      value: 45.3
      name: Exact Match@32K
      verified: false
---

# AIronMind/granite-3b-code-base-128k-Q4_K_M-GGUF
This model was converted to GGUF format from [`ibm-granite/granite-3b-code-base-128k`](https://huggingface.co/ibm-granite/granite-3b-code-base-128k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/ibm-granite/granite-3b-code-base-128k) for more details on the model.

## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)

```bash
brew install llama.cpp

```
Invoke the llama.cpp server or the CLI.

### CLI:
```bash
llama-cli --hf-repo AIronMind/granite-3b-code-base-128k-Q4_K_M-GGUF --hf-file granite-3b-code-base-128k-q4_k_m.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo AIronMind/granite-3b-code-base-128k-Q4_K_M-GGUF --hf-file granite-3b-code-base-128k-q4_k_m.gguf -c 2048
```

Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.
```
git clone https://github.com/ggerganov/llama.cpp
```

Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
```
cd llama.cpp && LLAMA_CURL=1 make
```

Step 3: Run inference through the main binary.
```
./llama-cli --hf-repo AIronMind/granite-3b-code-base-128k-Q4_K_M-GGUF --hf-file granite-3b-code-base-128k-q4_k_m.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo AIronMind/granite-3b-code-base-128k-Q4_K_M-GGUF --hf-file granite-3b-code-base-128k-q4_k_m.gguf -c 2048
```