Duplicate from ML610/Replit-v2-CodeInstruct-3b-ggml

Co-authored-by: H <ML610@users.noreply.huggingface.co>

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LICENSE

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+NOTICE
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+      You may add Your own copyright statement to Your modifications, provided 
+      Your use, reproduction, and distribution of the Work otherwise complies with
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+      provide additional or different license terms and conditions than the ones
+      used herein this License or modify the terms and conditions used herein this 
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+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
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+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
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+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
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+  10. Miscelleanous. The Work has been derived on the basis of the model 
+      uplodaded by Mr Anton Bacaj at the following GitHub repositiory:
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+
+   END OF TERMS AND CONDITIONS

README.md

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+---
+title: YOUR PERSONAL REPLIT GHOSTWRITER
+emoji: 👀
+colorFrom: blue
+colorTo: indigo
+sdk: gradio
+sdk_version: 3.35.2
+app_file: app.py
+pinned: false
+license: apache-2.0
+duplicated_from: ML610/Replit-v2-CodeInstruct-3b-ggml
+---
+
+# YOUR PERSONAL REPLIT GHOSTWRITER
+
+## ABOUT
+
+This project is an attempt to run the GGML 4 bit quantized version of the 'Replit-v2-CodeInstruct-3b' model on a CPU (i.e., a free HuggingFace Space).
+
+Checkout the website that I built on top of this model - https://personal-replit-ghostwriter.sixftone-mlh.repl.co/
+
+## CREDITS
+
+The 4 bit quantized model was provided by https://huggingface.co/abacaj

app.py

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+import gradio as gr
+
+import os
+from dataclasses import dataclass, asdict
+from ctransformers import AutoModelForCausalLM, AutoConfig
+
+
+@dataclass
+class GenerationConfig:
+    temperature: float
+    top_k: int
+    top_p: float
+    repetition_penalty: float
+    max_new_tokens: int
+    seed: int
+    reset: bool
+    stream: bool
+    threads: int
+    stop: list[str]
+
+
+def format_prompt(user_prompt: str):
+    return f"""### Instruction:
+{user_prompt}
+
+### Response:"""
+
+
+def generate(
+    llm: AutoModelForCausalLM,
+    generation_config: GenerationConfig,
+    user_prompt: str,
+):
+    """run model inference, will return a Generator if streaming is true"""
+
+    return llm(format_prompt(user_prompt), **asdict(generation_config))
+
+config = AutoConfig.from_pretrained(
+    "teknium/Replit-v2-CodeInstruct-3B", context_length=2048
+)
+llm = AutoModelForCausalLM.from_pretrained(
+    os.path.abspath("replit-v2-codeinstruct-3b.q4_1.bin"),
+    model_type="replit",
+    config=config,
+)
+
+generation_config = GenerationConfig(
+    temperature=0.2,
+    top_k=50,
+    top_p=0.9,
+    repetition_penalty=1.0,
+    max_new_tokens=512,  # adjust as needed
+    seed=42,
+    reset=True,  # reset history (cache)
+    stream=True,  # streaming per word/token
+    threads=int(os.cpu_count() / 6),  # adjust for your CPU
+    stop=["<|endoftext|>"],
+)
+
+user_prefix = "[user]: "
+assistant_prefix = f"[assistant]:"
+
+title = "Replit-v2-CodeInstruct-3b-ggml"
+description = "This space is an attempt to run the GGML 4 bit quantized version of 'Replit's CodeInstruct 3B' on a CPU"
+
+example_1 = "Write a python script for a function which calculates the factorial of the number inputted by user."
+example_2 = "Write a python script which prints 'you are logged in' only if the user inputs a number between 1-10"
+
+examples = [example_1, example_2]
+
+def generate_code(user_input):
+    response = generate(llm, generation_config, user_input)
+    code = ""
+    for word in response:
+        code = code + word
+    return code
+
+UI = gr.Interface(
+    fn=generate_code,
+    inputs=gr.Textbox(label="user_prompt", placeholder="Ask your queries here...."),
+    outputs=gr.Textbox(label="Assistant"),
+    title=title,
+    description=description,
+    examples=examples
+)
+
+UI.launch()

replit-v2-codeinstruct-3b.q4_1.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3be2edcc7a10e90ccf33ea868cd128e909a94ca6985806070f758a0d2c495a33
+size 1463873607

requirements.txt

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+git+https://github.com/abacaj/ctransformers.git@2e44d3416eeb376cc165b2c96b7fa0749a2b833d#egg=ctransformers
+transformers==4.30.2