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Model: glaiveai/glaive-coder-7b Source: Original Platform
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README.md
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README.md
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---
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license: llama2
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datasets:
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- glaiveai/glaive-code-assistant
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language:
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- en
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tags:
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- code
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---
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# Glaive-coder-7b
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Glaive-coder-7b is a 7B parameter code model trained on a dataset of ~140k programming related problems and solutions generated from Glaive’s synthetic data generation platform.
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The model is fine-tuned on the CodeLlama-7b model.
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## Usage:
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The model is trained to act as a code assistant, and can do both single instruction following and multi-turn conversations.
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It follows the same prompt format as CodeLlama-7b-Instruct-
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```
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<s>[INST]
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<<SYS>>
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{{ system_prompt }}
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<</SYS>>
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{{ user_msg }} [/INST] {{ model_answer }} </s>
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<s>[INST] {{ user_msg }} [/INST]
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```
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You can run the model in the following way-
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```python
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from transformers import AutoModelForCausalLM , AutoTokenizer
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tokenizer = AutoTokenizer.from_pretrained("glaiveai/glaive-coder-7b")
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model = AutoModelForCausalLM.from_pretrained("glaiveai/glaive-coder-7b").half().cuda()
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def fmt_prompt(prompt):
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return f"<s> [INST] {prompt} [/INST]"
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inputs = tokenizer(fmt_prompt(prompt),return_tensors="pt").to(model.device)
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outputs = model.generate(**inputs,do_sample=True,temperature=0.1,top_p=0.95,max_new_tokens=100)
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print(tokenizer.decode(outputs[0],skip_special_tokens=True,clean_up_tokenization_spaces=False))
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```
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## Benchmarks:
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The model achieves a 63.1% pass@1 on HumanEval and a 45.2% pass@1 on MBPP, however it is evident that these benchmarks are not representative of real-world usage of code models so we are launching the [Code Models Arena](https://arena.glaive.ai/) to let users vote on model outputs so we can have a better understanding of user preference on code models and come up with new and better benchmarks. We plan to release the Arena results as soon as we have a sufficient amount of data.
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Join the Glaive [discord](https://discord.gg/fjQ4uf3yWD) for improvement suggestions, bug-reports and collaborating on more open-source projects.
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added_tokens.json
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added_tokens.json
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{
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"<|pad|>": 32016
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}
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config.json
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config.json
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{
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"_name_or_path": "codellama/CodeLlama-7b-Instruct-hf",
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"architectures": [
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"LlamaForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 16384,
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"max_seq_len": 4096,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 1000000,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.32.0",
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"use_cache": true,
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"vocab_size": 32017
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}
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configuration.json
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configuration.json
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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generation_config.json
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.32.0"
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}
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pytorch_model.bin
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 26954367285
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special_tokens_map.json
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"▁<PRE>",
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"▁<MID>",
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"▁<SUF>",
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"▁<EOT>"
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],
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"pad_token": "<|pad|>",
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"unk_token": {
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.model
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
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size 500058
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tokenizer_config.json
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"additional_special_tokens": [
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"▁<PRE>",
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"▁<MID>",
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"▁<SUF>",
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"▁<EOT>"
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],
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"bos_token": {
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"__type": "AddedToken",
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"clean_up_tokenization_spaces": false,
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"eos_token": {
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"__type": "AddedToken",
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eot_token": "▁<EOT>",
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"fill_token": "<FILL_ME>",
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"legacy": null,
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"middle_token": "▁<MID>",
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"model_max_length": 4096,
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"pad_token": null,
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"padding_side": "right",
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"prefix_token": "▁<PRE>",
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"sp_model_kwargs": {},
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"suffix_first": false,
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"suffix_token": "▁<SUF>",
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"tokenizer_class": "CodeLlamaTokenizer",
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"trust_remote_code": true,
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"unk_token": {
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"__type": "AddedToken",
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"use_fast": false
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}
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