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Model: AI-Sweden-Models/gpt-sw3-6.7b-v2-translator
Source: Original Platform

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README.md

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+---
+base_model: AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct
+language:
+- sv
+- da
+- 'no'
+- en
+pipeline_tag: text-generation
+inference:
+  parameters:
+    temperature: 0.7
+tags:
+- translation
+---
+# Model Card for gpt-sw3-6.7b-v2-translator
+The `gpt-sw3-6.7b-v2-translator` is a finetuned version of `gpt-sw3-6.7b-v2-instruct` on a carefully selected translation pair dataset that was gathered by AI Sweden.
+
+
+## Intended usage:
+Translate text data from English to Swedish, or Swedish to English.
+
+
+## How to use:
+```python
+import torch
+from transformers import pipeline, StoppingCriteriaList, StoppingCriteria
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+
+
+# (Optional) - define a stopping criteria
+# We ideally want the model to stop generate once the response from the Bot is generated
+class StopOnTokenCriteria(StoppingCriteria):
+    def __init__(self, stop_token_id):
+        self.stop_token_id = stop_token_id
+
+    def __call__(self, input_ids, scores, **kwargs):
+        return input_ids[0, -1] == self.stop_token_id
+
+
+pipe = pipeline(
+    task="text-generation",
+    model="AI-Sweden-Models/gpt-sw3-6.7b-v2-translator",
+    device=device
+)
+
+stop_on_token_criteria = StopOnTokenCriteria(stop_token_id=pipe.tokenizer.bos_token_id)
+text = "I like to eat ice cream in the summer."
+
+# This will translate English to Swedish
+# To translate from Swedish to English the prompt would be:
+# prompt = f"<|endoftext|><s>User: Översätt till Engelska från Svenska\n{text}<s>Bot:"
+
+prompt = f"<|endoftext|><s>User: Översätt till Svenska från Engelska\n{text}<s>Bot:"
+
+input_tokens = pipe.tokenizer(prompt, return_tensors="pt").input_ids.to(device)
+max_model_length = 2048
+dynamic_max_length = max_model_length - input_tokens.shape[1]
+
+response = pipe(
+    prompt,
+    max_length=dynamic_max_length,
+    truncation=True,
+    stopping_criteria=StoppingCriteriaList([stop_on_token_criteria])
+)
+
+print(response[0]["generated_text"].split("<s>Bot: ")[-1])
+```
+```python
+>>> "Jag tycker om att äta glass på sommaren."
+```
+
+## Training & Data:
+The training was done on 1 NVIDIA DGX using DeepSpeed ZeRO 3 for three epochs on roughly 4GB of carefully selected translation data. It is a full finetune of all of the model parameters. 
+
+| Epoch | Training Loss | Evaluation Loss |
+|-------|---------------|-----------------|
+| 1     | 1.309         | 1.281           |
+| 2     | 1.161         | 1.242           |
+| 3     | 1.053         | 1.219           |

config.json

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+{
+  "_name_or_path": "/data/models/gpt-sw3-translation-7b",
+  "activation_function": "gelu",
+  "apply_query_key_layer_scaling": true,
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 1,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 1,
+  "initializer_range": 0.01,
+  "layer_norm_epsilon": 1e-05,
+  "max_length": 2048,
+  "model_type": "gpt2",
+  "n_ctx": 2048,
+  "n_embd": 4096,
+  "n_head": 32,
+  "n_inner": 16384,
+  "n_layer": 32,
+  "n_positions": 2048,
+  "normalize_attention_scores": true,
+  "pad_token_id": 0,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "tokenizer_class": "GPTSw3Tokenizer",
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.40.0.dev0",
+  "use_cache": true,
+  "vocab_size": 64000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 1,
+  "max_length": 2048,
+  "pad_token_id": 0,
+  "transformers_version": "4.40.0.dev0"
+}

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+    "transformer.h.9.mlp.c_fc.bias": "model-00001-of-00003.safetensors",
+    "transformer.h.9.mlp.c_fc.weight": "model-00001-of-00003.safetensors",
+    "transformer.h.9.mlp.c_proj.bias": "model-00001-of-00003.safetensors",
+    "transformer.h.9.mlp.c_proj.weight": "model-00001-of-00003.safetensors",
+    "transformer.ln_f.bias": "model-00003-of-00003.safetensors",
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+    "transformer.wpe.weight": "model-00001-of-00003.safetensors",
+    "transformer.wte.weight": "model-00001-of-00003.safetensors"
+  }
+}

special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

spiece.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f4bda2cd84ff0ac659cda40e746c55f47ee3e57cf18471670ad26998c28be52d
+size 1071955

tokenizer_config.json

@@ -0,0 +1,49 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "do_lower_case": false,
+  "eos_token": "<|endoftext|>",
+  "keep_accents": false,
+  "model_max_length": 2048,
+  "pad_token": "<pad>",
+  "padding_side": "left",
+  "remove_space": false,
+  "sp_model_kwargs": {},
+  "tokenizer_class": "GPTSw3Tokenizer",
+  "truncation_side": "left",
+  "unk_token": "<unk>"
+}