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}}\",\"details\":{\"parent_model\":\"\",\"format\":\"gguf\",\"family\":\"llama\",\"families\":[\"llama\"],\"parameter_size\":\"3.2B\",\"quantization_level\":\"Q4_K_M\"},\"model_info\":{\"general.architecture\":\"llama\",\"general.basename\":\"Llama-3.2\",\"general.file_type\":15,\"general.finetune\":\"Instruct\",\"general.languages\":[\"en\",\"de\",\"fr\",\"it\",\"pt\",\"hi\",\"es\",\"th\"],\"general.parameter_count\":3212749888,\"general.quantization_version\":2,\"general.size_label\":\"3B\",\"general.tags\":[\"facebook\",\"meta\",\"pytorch\",\"llama\",\"llama-3\",\"text-generation\"],\"general.type\":\"model\",\"llama.attention.head_count\":24,\"llama.attention.head_count_kv\":8,\"llama.attention.key_length\":128,\"llama.attention.layer_norm_rms_epsilon\":0.00001,\"llama.attention.value_length\":128,\"llama.block_count\":28,\"llama.context_length\":131072,\"llama.embedding_length\":3072,\"llama.feed_forward_length\":8192,\"llama.rope.dimension_count\":128,\"llama.rope.freq_base\":500000,\"llama.vocab_size\":128256,\"tokenizer.ggml.bos_token_id\":128000,\"tokenizer.ggml.eos_token_id\":128009,\"tokenizer.ggml.merges\":null,\"tokenizer.ggml.model\":\"gpt2\",\"tokenizer.ggml.pre\":\"llama-bpe\",\"tokenizer.ggml.token_type\":null,\"tokenizer.ggml.tokens\":null},\"tensors\":[{\"name\":\"rope_freqs.weight\",\"type\":\"F32\",\"shape\":[64]},{\"name\":\"token_embd.weight\",\"type\":\"Q4_K_S\",\"shape\":[3072,128256]},{\"name\":\"blk.0.attn_norm.weight\",\"type\":\"F32\",\"shape\":[3072]},{\"name\":\"blk.0.ffn_down.weight\",\"type\":\"Q4_K_S\",\"shape\":[8192,3072]},{\"name\":\"blk.0.ffn_gate.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,8192]},{\"name\":\"blk.0.ffn_up.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,8192]},{\"name\":\"blk.0.ffn_norm.weight\",\"type\":\"F32\",\"shape\":[3072]},{\"name\":\"blk.0.attn_k.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,1024]},{\"name\":\"blk.0.attn_output.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,3072]},{\"name\":\"blk.0.attn_q.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,3072]},{\"name\":\"blk.0.attn_v.weight\",\"type\":\"Q4_K_S\",\"shape\":[3072,1024]},{\"name\":\"blk.1.attn_norm.weight\",\"type\":\"F32\",\"shape\":[3072]},{\"name\":\"blk.1.ffn_down.weight\",\"type\":\"Q4_K_S\",\"shape\":[8192,3072]},{\"name\":\"blk.1.ffn_gate.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,8192]},{\"name\":\"blk.1.ffn_up.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,8192]},{\"name\":\"blk.1.ffn_norm.weight\",\"type\":\"F32\",\"shape\":[3072]},{\"name\":\"blk.1.attn_k.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,1024]},{\"name\":\"blk.1.attn_output.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,3072]},{\"name\":\"blk.1.attn_q.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,3072]},{\"name\":\"blk.1.attn_v.weight\",\"type\":\"Q4_K_S\",\"shape\":[3072,1024]},{\"name\":\"blk.10.attn_norm.weight\",\"type\":\"F32\",\"shape\":[3072]},{\"name\":\"blk.10.ffn_down.weight\",\"type\":\"Q4_K_S\",\"shape\":[8192,3072]},{\"name\":\"blk.10.ffn_gate.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,8192]},{\"name\":\"blk.10.ffn_up.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,8192]},{\"name\":\"blk.10.ffn_norm.weight\",\"type\":\"F32\",\"shape\":[3072]},{\"name\":\"blk.10.attn_k.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,1024]},{\"name\":\"blk.10.attn_output.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,3072]},{\"name\":\"blk.10.attn_q.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,3072]},{\"name\":\"blk.10.attn_v.weight\",\"type\":\"Q4_K_S\",\"shape\":[3072,1024]},{\"name\":\"blk.11.attn_norm.weight\",\"type\":\"F32\",\"shape\":[3072]},{\"name\":\"blk.11.ffn_down.weight\",\"type\":\"Q3_K_M\",\"shape\":[8192,3072]},{\"name\":\"blk.11.ffn_gate.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,8192]},{\"name\":\"blk.11.ffn_up.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,8192]},{\"name\":\"blk.11.ffn_norm.weight\",\"type\":\"F32\",\"shape\":[3072]},{\"name\":\"blk.11.attn_k.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,1024]},{\"name\":\"blk.11.attn_output.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,3072]},{\"name\":\"blk.11.attn_q.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,3072]},{\"name\":\"blk.11.attn_v.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,1024]},{\"name\":\"blk.12.attn_norm.weight\",\"type\":\"F32\",\"shape\":[3072]},{\"name\":\"blk.12.ffn_down.weight\",\"type\":\"Q3_K_M\",\"shape\":[8192,3072]},{\"name\":\"blk.12.ffn_gate.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,8192]},{\"name\":\"blk.12.ffn_up.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,8192]},{\"name\":\"blk.12.ffn_norm.weight\",\"type\":\"F32\",\"shape\":[3072]},{\"name\":\"blk.12.attn_k.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,1024]},{\"name\":\"blk.12.attn_output.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,3072]},{\"name\":\"blk.12.attn_q.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,3072]},{\"name\":\"blk.12.attn_v.weight\",\"type\":\"Q3_K_M\",\"shape\":[3072,1024]},{\"name\":\"blk.13.attn_norm.weight\",\"type\Line 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headers:
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Content-Type:
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Date:
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Transfer-Encoding:
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status:
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code: 200
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||||
message: OK
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version: 1
|
||||
@@ -357,14 +357,7 @@ def test_convert_with_instructions():
|
||||
assert output.age == 30
|
||||
|
||||
|
||||
# Skip tests that call external APIs when running in CI/CD
|
||||
skip_external_api = pytest.mark.skipif(
|
||||
os.getenv("CI") is not None, reason="Skipping tests that call external API in CI/CD"
|
||||
)
|
||||
|
||||
|
||||
@skip_external_api
|
||||
@pytest.mark.vcr(filter_headers=["authorization"], record_mode="once")
|
||||
@pytest.mark.vcr(filter_headers=["authorization"])
|
||||
def test_converter_with_llama3_2_model():
|
||||
llm = LLM(model="ollama/llama3.2:3b", base_url="http://localhost:11434")
|
||||
sample_text = "Name: Alice Llama, Age: 30"
|
||||
@@ -381,8 +374,7 @@ def test_converter_with_llama3_2_model():
|
||||
assert output.age == 30
|
||||
|
||||
|
||||
@skip_external_api
|
||||
@pytest.mark.vcr(filter_headers=["authorization"], record_mode="once")
|
||||
@pytest.mark.vcr(filter_headers=["authorization"])
|
||||
def test_converter_with_llama3_1_model():
|
||||
llm = LLM(model="ollama/llama3.1", base_url="http://localhost:11434")
|
||||
sample_text = "Name: Alice Llama, Age: 30"
|
||||
@@ -399,13 +391,6 @@ def test_converter_with_llama3_1_model():
|
||||
assert output.age == 30
|
||||
|
||||
|
||||
# Skip tests that call external APIs when running in CI/CD
|
||||
skip_external_api = pytest.mark.skipif(
|
||||
os.getenv("CI") is not None, reason="Skipping tests that call external API in CI/CD"
|
||||
)
|
||||
|
||||
|
||||
@skip_external_api
|
||||
@pytest.mark.vcr(filter_headers=["authorization"])
|
||||
def test_converter_with_nested_model():
|
||||
llm = LLM(model="gpt-4o-mini")
|
||||
|
||||
Reference in new issue
Block a user