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README.md

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+---
+base_model: bigcode/starcoder2-3b
+datasets:
+- bigcode/the-stack-v2-train
+library_name: transformers
+license: bigcode-openrail-m
+pipeline_tag: text-generation
+tags:
+- code
+- llama-cpp
+- gguf-my-repo
+inference: true
+widget:
+- text: 'def print_hello_world():'
+  example_title: Hello world
+  group: Python
+model-index:
+- name: starcoder2-3b
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      name: CruxEval-I
+      type: cruxeval-i
+    metrics:
+    - type: pass@1
+      value: 32.7
+  - task:
+      type: text-generation
+    dataset:
+      name: DS-1000
+      type: ds-1000
+    metrics:
+    - type: pass@1
+      value: 25.0
+  - task:
+      type: text-generation
+    dataset:
+      name: GSM8K (PAL)
+      type: gsm8k-pal
+    metrics:
+    - type: accuracy
+      value: 27.7
+  - task:
+      type: text-generation
+    dataset:
+      name: HumanEval+
+      type: humanevalplus
+    metrics:
+    - type: pass@1
+      value: 27.4
+  - task:
+      type: text-generation
+    dataset:
+      name: HumanEval
+      type: humaneval
+    metrics:
+    - type: pass@1
+      value: 31.7
+  - task:
+      type: text-generation
+    dataset:
+      name: RepoBench-v1.1
+      type: repobench-v1.1
+    metrics:
+    - type: edit-smiliarity
+      value: 71.19
+---
+
+# combos/starcoder2-3b-Q4_K_M-GGUF
+This model was converted to GGUF format from [`bigcode/starcoder2-3b`](https://huggingface.co/bigcode/starcoder2-3b) 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/bigcode/starcoder2-3b) 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 combos/starcoder2-3b-Q4_K_M-GGUF --hf-file starcoder2-3b-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo combos/starcoder2-3b-Q4_K_M-GGUF --hf-file starcoder2-3b-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 combos/starcoder2-3b-Q4_K_M-GGUF --hf-file starcoder2-3b-q4_k_m.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo combos/starcoder2-3b-Q4_K_M-GGUF --hf-file starcoder2-3b-q4_k_m.gguf -c 2048
+```