Firecrawl Alexandria
Ollama model library
Codefollows the fields above
const result = await firecrawl.scrape({
alexandria: {
provider: "ollama-com",
capability: "models/layer_metadata",
options: {
layer_digest: "06507c7b4268",
model: "qwen3-embedding",
tag: "0.6b",
},
},
});2Response example
This is a sample shape. Press Run to see live data from Ollama model library.
{
"architecture": "qwen3",
"block_count": 28,
"context_length": 32768,
"embedding_length": 1024,
"file_type": "Q8_0",
"layer_type": "model",
"metadata": {
"general.architecture": "qwen3",
"general.file_type": "Q8_0",
"qwen3.attention.head_count": "16",
"qwen3.attention.head_count_kv": "8",
"qwen3.attention.key_length": "128",
"qwen3.attention.layer_norm_rms_epsilon": "1e-06",
"qwen3.attention.value_length": "128",
"qwen3.block_count": "28",
"qwen3.context_length": "32768",
"qwen3.embedding_length": "1024",
"qwen3.feed_forward_length": "3072",
"qwen3.pooling_type": "Last",
"qwen3.rope.freq_base": "1e+06",
"tokenizer.ggml.add_bos_token": "false",
"tokenizer.ggml.add_eos_token": "true",
"tokenizer.ggml.bos_token_id": "151643",
"tokenizer.ggml.eos_token_id": "151643",
"tokenizer.ggml.eot_token_id": "151645",
"tokenizer.ggml.merges": "[Ġ Ġ, ĠĠ ĠĠ, i n, Ġ t, ĠĠĠĠ ĠĠĠĠ, ...]",
"tokenizer.ggml.model": "gpt2",
"tokenizer.ggml.padding_token_id": "151643",
"tokenizer.ggml.pre": "qwen2",
"tokenizer.ggml.token_type": "[1, 1, 1, 1, 1, ...]",
"tokenizer.ggml.tokens": "[!, \", #, $, %, ...]"
},
"model": "qwen3-embedding",
"name": "qwen3-embedding:0.6b",
"namespace": "library",
"observed_at_ms": 1790115776734,
"short_digest": "06507c7b4268",
"size_text": "639MB",
"tag": "0.6b",
"tensor_count": 310,
"tensors": null,
"url": "https://ollama.com/library/qwen3-embedding:0.6b/blobs/06507c7b4268"
}