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Model: neuralmagic/Llama-2-7b-evolcodealpaca
Source: Original Platform

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README.md

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+---
+base_model: meta-llama/Llama-2-7b-hf
+inference: true
+model_type: llama
+pipeline_tag: text-generation
+datasets:
+  - theblackcat102/evol-codealpaca-v1
+tags:
+- code
+---
+
+# Llama-2-7b-evolcodealpaca
+
+This repo contains a [Llama 2 7B](https://huggingface.co/meta-llama/Llama-2-7b-hf) finetuned for code generation tasks using the [Evolved CodeAlpaca](https://huggingface.co/datasets/theblackcat102/evol-codealpaca-v1) dataset.
+
+Official model weights from [Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment](https://arxiv.org/abs/2405.03594).
+
+**Authors**: Neural Magic, Cerebras
+
+## Usage
+
+Below we share some code snippets on how to get quickly started with running the model.
+
+### Sparse Transfer
+
+By leveraging a pre-sparsified model's structure, you can efficiently fine-tune on new data, leading to reduced hyperparameter tuning, training times, and computational costs. Learn about this process [here](https://neuralmagic.github.io/docs-v2/get-started/transfer).
+
+### Running the model
+
+This model may be run with the transformers library. For accelerated inference with sparsity, deploy with [nm-vllm](https://github.com/neuralmagic/nm-vllm) or [deepsparse](https://github.com/neuralmagic/deepsparse).
+
+```python
+# pip install transformers accelerate
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("neuralmagic/Llama-2-7b-evolcodealpaca")
+model = AutoModelForCausalLM.from_pretrained("neuralmagic/Llama-2-7b-evolcodealpaca", device_map="auto")
+
+input_text = "def fibonacci(n):\n"
+input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")
+
+outputs = model.generate(**input_ids)
+print(tokenizer.decode(outputs[0]))
+```
+
+## Evaluation Benchmark Results
+
+Model evaluation metrics and results.
+
+| Benchmark                                      | Metric        | Llama-2-7b-evolcodealpaca  |
+|------------------------------------------------|---------------|-------------|
+| [HumanEval](https://arxiv.org/abs/2107.03374)  | pass@1        | 32.03       |
+
+## Model Training Details
+
+Coming soon.
+
+## Help
+
+For further support, and discussions on these models and AI in general, join [Neural Magic's Slack Community](https://join.slack.com/t/discuss-neuralmagic/shared_invite/zt-q1a1cnvo-YBoICSIw3L1dmQpjBeDurQ)

config.json

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+  "architectures": [
+    "LlamaForCausalLM"
+  ],
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+  "model_type": "llama",
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+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.40.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

evaluation_results.json

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+  "humaneval": {
+    "pass@1": 0.32036585365853665,
+    "pass@10": 0.46779679420398335
+  },
+  "config": {
+    "prefix": "",
+    "do_sample": true,
+    "temperature": 0.2,
+    "top_k": 0,
+    "top_p": 0.95,
+    "n_samples": 50,
+    "eos": "<|endoftext|>",
+    "seed": 0,
+    "model": "/home/abhinav/src/llama-recipes/llama_7b_evol_codealpaca_dense/dense-sft_llama_lr1e-4_epochs2_gradclip5.0_cosine_seqlen1024_run2-/combined/",
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+    "load_generations_path": null,
+    "load_data_path": null,
+    "metric_output_path": "/home/abhinav/src/llama-recipes/llama_7b_evol_codealpaca_dense/dense-sft_llama_lr1e-4_epochs2_gradclip5.0_cosine_seqlen1024_run2-/combined//evaluation_results.json",
+    "save_generations": true,
+    "load_generations_intermediate_paths": null,
+    "save_generations_path": "generations.json",
+    "save_references": false,
+    "save_references_path": "references.json",
+    "prompt": "prompt",
+    "max_memory_per_gpu": "auto",
+    "check_references": false
+  }
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.40.0"
+}

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+}

recipe.yaml

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+test_stage:
+  obcq_modifiers:
+    SmoothQuantModifier:
+      smoothing_strength: 0.8
+      mappings:
+      - - - re:.*q_proj
+          - re:.*k_proj
+          - re:.*v_proj
+        - re:.*input_layernorm
+      - - - re:.*gate_proj
+          - re:.*up_proj
+        - re:.*post_attention_layernorm
+      - - - re:.*down_proj
+        - re:.*up_proj
+    QuantizationModifier:
+      ignore:
+      - LlamaRotaryEmbedding
+      - LlamaRMSNorm
+      - SiLUActivation
+      - model.layers.1.mlp.down_proj
+      - model.layers.30.mlp.down_proj
+      - model.layers.0.mlp.down_proj
+      post_oneshot_calibration: true
+      scheme_overrides:
+        Linear:
+          weights:
+            num_bits: 8
+            symmetric: true
+            strategy: channel
+        MatMulLeftInput_QK:
+          input_activations:
+            num_bits: 8
+            symmetric: true
+        Embedding:
+          input_activations: null
+          weights:
+            num_bits: 8
+            symmetric: false
+    SparseGPTModifier:
+      sparsity: 0.0
+      block_size: 128
+      sequential_update: false
+      quantize: true
+      percdamp: 0.01
+      mask_structure: 0:0
+      targets:
+      - model.layers.0
+      - model.layers.1
+      - model.layers.2
+      - model.layers.3
+      - model.layers.4
+      - model.layers.5
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+      - model.layers.11
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+      - model.layers.13
+      - model.layers.14
+      - model.layers.15
+      - model.layers.16
+      - model.layers.17
+      - model.layers.18
+      - model.layers.19
+      - model.layers.20
+      - model.layers.21
+      - model.layers.22
+      - model.layers.23
+      - model.layers.24
+      - model.layers.25
+      - model.layers.26
+      - model.layers.27
+      - model.layers.28
+      - model.layers.29
+      - model.layers.30
+      - model.layers.31
+      - lm_head

special_tokens_map.json

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+{
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
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+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}