Init

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
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+adapter_model.bin filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,68 @@
 ---
+language:
+- en
+library_name: transformers
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- Mistral
 license: llama2
+model-index:
+- name: SpeechlessCoder
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      type: openai_humaneval
+      name: HumanEval
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 0.0
+      verified: false
 ---
+
+**This is a test.**
+
+
+This LoRA model is extracted from the efficient parameter fine-tuned model, and now it needs to be verified whether this LoRA model can achieve comparable performance with the original model.
+
+The final goal is to create a toolkit that can simultaneously load multiple LoRA modules, and automatically switch to the appropriate combination of LoRA modules based on user queries to generate the best answer.
+
+
+## lm-evaluation-harness
+
+[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+
+| Metric | Mistral-7B-OpenOrca | Mistral-7B-OpenOrca-lora|
+| --- | --- |--- |
+| ARC | 64.08 | |
+| HellaSwag | 83.99 | |
+| MMLU | 62.24 | |
+| TruthfulQA | 53.05 | |
+| Average | 65.84 | |
+
+## HumanEval
+
+| Metric | Mistral-7B-OpenOrca | Mistral-7B-OpenOrca-lora|
+| --- | --- | --- |
+| humaneval-python | 35.976 | |
+
+
+## Training procedure
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: True
+- bnb_4bit_compute_dtype: bfloat16
+### Framework versions
+
+
+- PEFT 0.5.0

adapter_config.json

@@ -0,0 +1,26 @@
+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "/opt/local/llm_models/huggingface.co/mistralai/Mistral-7B-v0.1",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "k_proj",
+    "q_proj",
+    "up_proj",
+    "gate_proj",
+    "o_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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