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Model: AICrossSim/clm-60m
Source: Original Platform

.gitattributes

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README.md

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+---
+library_name: transformers
+tags:
+- language-model
+license: odc-by
+datasets:
+- HuggingFaceFW/fineweb-edu
+language:
+- en
+---
+
+# Model Card for AICrossSim/clm-60m
+
+A 60M parameter language model trained on `22 * 60M` tokens from FineWeb-Edu dataset.
+
+## Model Details
+
+aixsim-60M is a transformer-based language model with approximately 60 million parameters (embedding layer params excluded). 
+It uses RMSNorm for normalization and is trained on the FineWeb-Edu dataset.
+
+- **Developed by:** AICrossSim
+- **Funded by:** [ARIA](https://www.aria.org.uk/)
+- **Model type:** Transformer Language Model
+- **Language(s) (NLP):** English
+- **Tokenizer:** [HuggingFaceTB/cosmo2-tokenizer](https://huggingface.co/HuggingFaceTB/cosmo2-tokenizer)
+- **Repository:** [AICrossSim/NewComputeBench](https://github.com/AICrossSim/NewComputeBench)
+
+## Training Details
+
+Experiment setup and training logs can be found at [wandb run](https://wandb.ai/cz98/torchtitan/runs/7kttp3qt?nw=nwusercz98).
+
+## Usage
+
+```python
+import transformers
+
+model_name="AICrossSim/clm-60m"
+model = transformers.AutoModelForCausalLM.from_pretrained(model_name)
+tokenizer = transformers.AutoTokenizer.from_pretrained(model_name)
+```
+
+## lm-evaluation-harness
+
+| Tasks  |Version|Filter|n-shot|    Metric     |   | Value  |   |Stderr|
+|--------|------:|------|-----:|---------------|---|-------:|---|------|
+|wikitext|      2|none  |     0|bits_per_byte  |↓  |  1.6693|±  |   N/A|
+|        |       |none  |     0|byte_perplexity|↓  |  3.1806|±  |   N/A|
+|        |       |none  |     0|word_perplexity|↓  |486.5306|±  |   N/A|

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 384,
+  "initializer_range": 0.02,
+  "intermediate_size": 1408,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 6,
+  "num_hidden_layers": 22,
+  "num_key_value_heads": 2,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 8.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 10000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.48.3",
+  "use_cache": true,
+  "vocab_size": 49152
+}

generation_config.json

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+{
+  "bos_token_id": 0,
+  "do_sample": true,
+  "eos_token_id": 0,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.48.3"
+}

model.safetensors

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+size 328426880

special_tokens_map.json

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+{
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+    "<|endoftext|>",
+    "<|im_start|>",
+    "<|im_end|>",
+    "<repo_name>",
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+    "<filename>",
+    "<gh_stars>",
+    "<issue_start>",
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+    "lstrip": false,
+    "normalized": false,
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+    "single_word": false
+  }
+}

tokenizer_config.json

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+}