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Model: Nondzu/Mistral-7B-codealpaca-lora Source: Original Platform
2026-08-02 11:25:16 +08:00
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+---
+license: apache-2.0
+tags:
+- code
+- mistral
+---
+
+# Mistral-7B-codealpaca
+
+I am thrilled to introduce my Mistral-7B-codealpaca model. This variant is optimized and demonstrates potential in assisting developers as a coding companion. I welcome contributions from testers and enthusiasts to help evaluate its performance.
+
+## Training Details
+
+I trained the model using 3xRTX 3090 for 118 hours.
+[![Built with Axolotl](https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png)](https://github.com/OpenAccess-AI-Collective/axolotl)
+
+## Quantised Model Links:
+
+1. https://huggingface.co/TheBloke/Mistral-7B-codealpaca-lora-GPTQ
+2. https://huggingface.co/TheBloke/Mistral-7B-codealpaca-lora-GGUF
+3. https://huggingface.co/TheBloke/Mistral-7B-codealpaca-lora-AWQ
+
+## Download by qBittorrent:
+
+#### Torrent file:  https://github.com/Nondzu/LlamaTor/blob/torrents/torrents/Nondzu_Mistral-7B-codealpaca-lora.torrent
+
+## Dataset:
+
+- Dataset Name: theblackcat102/evol-codealpaca-v1
+- Dataset Link: [theblackcat102/evol-codealpaca-v1](https://huggingface.co/datasets/theblackcat102/evol-codealpaca-v1)
+
+## Prompt template: Alpaca
+
+```
+Below is an instruction that describes a task. Write a response that appropriately completes the request.
+
+### Instruction:
+{prompt}
+
+### Response:
+
+```
+
+
+## Performance (evalplus)
+Human eval plus: https://github.com/evalplus/evalplus
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63729f35acef705233c87909/azE6LU0qQ9E9u60t5VrMk.png)
+
+Well, the results are better than I expected:
+- Base: `{'pass@1':  0.47560975609756095}`
+- Base + Extra: `{'pass@1': 0.4329268292682927}`
+
+For reference, I've provided the performance of the original Mistral model alongside my Mistral-7B-code-16k-qlora model. 
+
+**   [Nondzu/Mistral-7B-code-16k-qlora](https://huggingface.co/Nondzu/Mistral-7B-code-16k-qlora)**:
+
+- Base: `{'pass@1': 0.3353658536585366}`
+- Base + Extra: `{'pass@1': 0.2804878048780488}`
+
+** [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1)**:
+
+- Base: `{'pass@1': 0.2926829268292683}`
+- Base + Extra: `{'pass@1': 0.24390243902439024}`
+
+## Model Configuration:
+
+Here are the configurations for my Mistral-7B-codealpaca-lora:
+
+```yaml
+base_model: mistralai/Mistral-7B-Instruct-v0.1
+base_model_config: mistralai/Mistral-7B-Instruct-v0.1
+model_type: MistralForCausalLM
+tokenizer_type: LlamaTokenizer
+is_mistral_derived_model: true
+load_in_8bit: true
+load_in_4bit: false
+strict: false
+datasets:
+  - path: theblackcat102/evol-codealpaca-v1
+    type: oasst
+dataset_prepared_path:
+val_set_size: 0.01
+output_dir: ./nondzu/Mistral-7B-codealpaca-test14
+adapter: lora
+sequence_len: 4096
+sample_packing: true
+pad_to_sequence_len: true
+lora_r: 32
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_modules:
+lora_target_linear: true
+```
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63729f35acef705233c87909/5nPgL3ajROKf7dttf4BO0.png)
+
+## Additional Projects:
+
+For other related projects, you can check out:
+
+- [LlamaTor on GitHub](https://github.com/Nondzu/LlamaTor)